---
_id: '61210'
abstract:
- lang: eng
  text: Knowledge graphs (KGs) differ significantly over multiple different versions
    of the same data source. They also often contain blank nodes that do not have
    a constant identifier over all versions. Linking such blank nodes from different
    versions is a challenging task. Previous works propose different approaches to
    create signatures for all blank nodes based on named nodes in their neighborhood
    to match blank nodes with similar signatures. However, these works struggle to
    find a good mapping when the difference between the KGs’ versions grows too large.
    In this work, we propose Blink, an embedding-based approach for blank node linking.
    Blink merges two KGs’ versions and embeds the merged graph into a latent vector
    space based on translational embeddings and subsequently matches the closest pairs
    of blank nodes from different graphs. We evaluate our approach using real-world
    datasets against state-of-the-art approaches by computing the blank node matching
    for isomorphic graphs and graphs that contain triple changes (i.e., added or removed
    triples). The results indicate that Blink achieves perfect accuracy for isomorphic
    graphs. For graph versions that contain changes, such as having up to 20% of triples
    removed in one version, Blink still produces a mapping with an Optimal Mapping
    Deviation Ratio of under 1%. These results show that Blink leads to a better linking
    of KGs over different versions and similar graphs adhering to the linked data
    guidelines.
author:
- first_name: Alexander
  full_name: Becker, Alexander
  last_name: Becker
- first_name: Mohamed
  full_name: Sherif, Mohamed
  id: '67234'
  last_name: Sherif
  orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: 'Becker A, Sherif M, Ngonga Ngomo A-C. Blink: Blank Node Matching Using Embeddings.
    In: <i>Lecture Notes in Computer Science</i>. Springer Nature Switzerland; 2024.
    doi:<a href="https://doi.org/10.1007/978-3-031-77844-5_12">10.1007/978-3-031-77844-5_12</a>'
  apa: 'Becker, A., Sherif, M., &#38; Ngonga Ngomo, A.-C. (2024). Blink: Blank Node
    Matching Using Embeddings. In <i>Lecture Notes in Computer Science</i>. ISWC 2024: :
    The 23ed International Semantic Web Conference, Baltimore, USA. Springer Nature
    Switzerland. <a href="https://doi.org/10.1007/978-3-031-77844-5_12">https://doi.org/10.1007/978-3-031-77844-5_12</a>'
  bibtex: '@inbook{Becker_Sherif_Ngonga Ngomo_2024, place={Cham}, title={Blink: Blank
    Node Matching Using Embeddings}, DOI={<a href="https://doi.org/10.1007/978-3-031-77844-5_12">10.1007/978-3-031-77844-5_12</a>},
    booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
    author={Becker, Alexander and Sherif, Mohamed and Ngonga Ngomo, Axel-Cyrille},
    year={2024} }'
  chicago: 'Becker, Alexander, Mohamed Sherif, and Axel-Cyrille Ngonga Ngomo. “Blink:
    Blank Node Matching Using Embeddings.” In <i>Lecture Notes in Computer Science</i>.
    Cham: Springer Nature Switzerland, 2024. <a href="https://doi.org/10.1007/978-3-031-77844-5_12">https://doi.org/10.1007/978-3-031-77844-5_12</a>.'
  ieee: 'A. Becker, M. Sherif, and A.-C. Ngonga Ngomo, “Blink: Blank Node Matching
    Using Embeddings,” in <i>Lecture Notes in Computer Science</i>, Cham: Springer
    Nature Switzerland, 2024.'
  mla: 'Becker, Alexander, et al. “Blink: Blank Node Matching Using Embeddings.” <i>Lecture
    Notes in Computer Science</i>, Springer Nature Switzerland, 2024, doi:<a href="https://doi.org/10.1007/978-3-031-77844-5_12">10.1007/978-3-031-77844-5_12</a>.'
  short: 'A. Becker, M. Sherif, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer
    Science, Springer Nature Switzerland, Cham, 2024.'
conference:
  end_date: 2024-11-15
  location: Baltimore, USA
  name: 'ISWC 2024: : The 23ed International Semantic Web Conference'
  start_date: 2024-11-11
date_created: 2025-09-11T10:19:47Z
date_updated: 2025-09-11T10:34:02Z
department:
- _id: '574'
doi: 10.1007/978-3-031-77844-5_12
language:
- iso: eng
main_file_link:
- url: https://papers.dice-research.org/2024/ISWC_BLINK/public.pdf
place: Cham
project:
- _id: '285'
  name: SAIL - Nachhaltiger Lebenszyklus von intelligenten soziotechnischen Systemen
publication: Lecture Notes in Computer Science
publication_identifier:
  isbn:
  - '9783031778438'
  - '9783031778445'
  issn:
  - 0302-9743
  - 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
status: public
title: 'Blink: Blank Node Matching Using Embeddings'
type: book_chapter
user_id: '67234'
year: '2024'
...
---
_id: '54084'
author:
- first_name: Nikolaos
  full_name: Karalis, Nikolaos
  last_name: Karalis
- first_name: Alexander
  full_name: Bigerl, Alexander
  id: '72857'
  last_name: Bigerl
- first_name: Liss
  full_name: Heidrich, Liss
  last_name: Heidrich
- first_name: Mohamed
  full_name: Sherif, Mohamed
  id: '67234'
  last_name: Sherif
  orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: 'Karalis N, Bigerl A, Heidrich L, Sherif M, Ngonga Ngomo A-C. Efficient Evaluation
    of Conjunctive Regular Path Queries Using Multi-way Joins. In: <i>ESWC</i>. ;
    2024.'
  apa: Karalis, N., Bigerl, A., Heidrich, L., Sherif, M., &#38; Ngonga Ngomo, A.-C.
    (2024). Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way
    Joins. <i>ESWC</i>.
  bibtex: '@inproceedings{Karalis_Bigerl_Heidrich_Sherif_Ngonga Ngomo_2024, title={Efficient
    Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins}, booktitle={ESWC},
    author={Karalis, Nikolaos and Bigerl, Alexander and Heidrich, Liss and Sherif,
    Mohamed and Ngonga Ngomo, Axel-Cyrille}, year={2024} }'
  chicago: Karalis, Nikolaos, Alexander Bigerl, Liss Heidrich, Mohamed Sherif, and
    Axel-Cyrille Ngonga Ngomo. “Efficient Evaluation of Conjunctive Regular Path Queries
    Using Multi-Way Joins.” In <i>ESWC</i>, 2024.
  ieee: N. Karalis, A. Bigerl, L. Heidrich, M. Sherif, and A.-C. Ngonga Ngomo, “Efficient
    Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins,” 2024.
  mla: Karalis, Nikolaos, et al. “Efficient Evaluation of Conjunctive Regular Path
    Queries Using Multi-Way Joins.” <i>ESWC</i>, 2024.
  short: 'N. Karalis, A. Bigerl, L. Heidrich, M. Sherif, A.-C. Ngonga Ngomo, in: ESWC,
    2024.'
date_created: 2024-05-08T10:25:54Z
date_updated: 2025-09-11T10:36:03Z
department:
- _id: '574'
keyword:
- bigerl dice enexa heidrich karalis ngonga sail sherif
language:
- iso: eng
publication: ESWC
status: public
title: Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way Joins
type: conference
user_id: '67234'
year: '2024'
...
---
_id: '61219'
author:
- first_name: Ajay
  full_name: Kumar, Ajay
  last_name: Kumar
- first_name: Marius
  full_name: Naumann, Marius
  id: '94950'
  last_name: Naumann
- first_name: Kevin
  full_name: Henne, Kevin
  id: '56918'
  last_name: Henne
- first_name: Mohamed
  full_name: Sherif, Mohamed
  id: '67234'
  last_name: Sherif
  orcid: https://orcid.org/0000-0002-9927-2203
citation:
  ama: 'Kumar A, Naumann M, Henne K, Sherif M. PCFWebUI: Data-driven WebUI for holistic
    decarbonization based on PCF-Tracking. In: Garijo D, Gentile AL, Kurteva A, Mannocci
    A, Osborne F, Vahdati S, eds. <i>Joint Proceedings of Posters, Demos, Workshops,
    and Tutorials of the 20th International Conference on Semantic Systems Co-Located
    with 20th International Conference on Semantic Systems (SEMANTiCS 2024), Amsterdam,
    The Netherlands, September 17-19, 2024</i>. Vol 3759. CEUR Workshop Proceedings.
    CEUR-WS.org; 2024.'
  apa: 'Kumar, A., Naumann, M., Henne, K., &#38; Sherif, M. (2024). PCFWebUI: Data-driven
    WebUI for holistic decarbonization based on PCF-Tracking. In D. Garijo, A. L.
    Gentile, A. Kurteva, A. Mannocci, F. Osborne, &#38; S. Vahdati (Eds.), <i>Joint
    Proceedings of Posters, Demos, Workshops, and Tutorials of the 20th International
    Conference on Semantic Systems co-located with 20th International Conference on
    Semantic Systems (SEMANTiCS 2024), Amsterdam, The Netherlands, September 17-19,
    2024</i> (Vol. 3759). CEUR-WS.org.'
  bibtex: '@inproceedings{Kumar_Naumann_Henne_Sherif_2024, series={CEUR Workshop Proceedings},
    title={PCFWebUI: Data-driven WebUI for holistic decarbonization based on PCF-Tracking},
    volume={3759}, booktitle={Joint Proceedings of Posters, Demos, Workshops, and
    Tutorials of the 20th International Conference on Semantic Systems co-located
    with 20th International Conference on Semantic Systems (SEMANTiCS 2024), Amsterdam,
    The Netherlands, September 17-19, 2024}, publisher={CEUR-WS.org}, author={Kumar,
    Ajay and Naumann, Marius and Henne, Kevin and Sherif, Mohamed}, editor={Garijo,
    Daniel and Gentile, Anna Lisa and Kurteva, Anelia and Mannocci, Andrea and Osborne,
    Francesco and Vahdati, Sahar}, year={2024}, collection={CEUR Workshop Proceedings}
    }'
  chicago: 'Kumar, Ajay, Marius Naumann, Kevin Henne, and Mohamed Sherif. “PCFWebUI:
    Data-Driven WebUI for Holistic Decarbonization Based on PCF-Tracking.” In <i>Joint
    Proceedings of Posters, Demos, Workshops, and Tutorials of the 20th International
    Conference on Semantic Systems Co-Located with 20th International Conference on
    Semantic Systems (SEMANTiCS 2024), Amsterdam, The Netherlands, September 17-19,
    2024</i>, edited by Daniel Garijo, Anna Lisa Gentile, Anelia Kurteva, Andrea Mannocci,
    Francesco Osborne, and Sahar Vahdati, Vol. 3759. CEUR Workshop Proceedings. CEUR-WS.org,
    2024.'
  ieee: 'A. Kumar, M. Naumann, K. Henne, and M. Sherif, “PCFWebUI: Data-driven WebUI
    for holistic decarbonization based on PCF-Tracking,” in <i>Joint Proceedings of
    Posters, Demos, Workshops, and Tutorials of the 20th International Conference
    on Semantic Systems co-located with 20th International Conference on Semantic
    Systems (SEMANTiCS 2024), Amsterdam, The Netherlands, September 17-19, 2024</i>,  Amsterdam,The
    Netherlands, 2024, vol. 3759.'
  mla: 'Kumar, Ajay, et al. “PCFWebUI: Data-Driven WebUI for Holistic Decarbonization
    Based on PCF-Tracking.” <i>Joint Proceedings of Posters, Demos, Workshops, and
    Tutorials of the 20th International Conference on Semantic Systems Co-Located
    with 20th International Conference on Semantic Systems (SEMANTiCS 2024), Amsterdam,
    The Netherlands, September 17-19, 2024</i>, edited by Daniel Garijo et al., vol.
    3759, CEUR-WS.org, 2024.'
  short: 'A. Kumar, M. Naumann, K. Henne, M. Sherif, in: D. Garijo, A.L. Gentile,
    A. Kurteva, A. Mannocci, F. Osborne, S. Vahdati (Eds.), Joint Proceedings of Posters,
    Demos, Workshops, and Tutorials of the 20th International Conference on Semantic
    Systems Co-Located with 20th International Conference on Semantic Systems (SEMANTiCS
    2024), Amsterdam, The Netherlands, September 17-19, 2024, CEUR-WS.org, 2024.'
conference:
  end_date: 2024-09-19
  location: ' Amsterdam,The Netherlands'
  name: International Conference on Semantic Systems (SEMANTiCS 2024)
  start_date: 2024-09-17
date_created: 2025-09-11T10:43:04Z
date_updated: 2025-09-11T10:46:35Z
department:
- _id: '574'
editor:
- first_name: Daniel
  full_name: Garijo, Daniel
  last_name: Garijo
- first_name: Anna Lisa
  full_name: Gentile, Anna Lisa
  last_name: Gentile
- first_name: Anelia
  full_name: Kurteva, Anelia
  last_name: Kurteva
- first_name: Andrea
  full_name: Mannocci, Andrea
  last_name: Mannocci
- first_name: Francesco
  full_name: Osborne, Francesco
  last_name: Osborne
- first_name: Sahar
  full_name: Vahdati, Sahar
  last_name: Vahdati
intvolume: '      3759'
keyword:
- kumar sherif enexa climatebowl ingrid simba dice whale
language:
- iso: eng
publication: Joint Proceedings of Posters, Demos, Workshops, and Tutorials of the
  20th International Conference on Semantic Systems co-located with 20th International
  Conference on Semantic Systems (SEMANTiCS 2024), Amsterdam, The Netherlands, September
  17-19, 2024
publisher: CEUR-WS.org
series_title: CEUR Workshop Proceedings
status: public
title: 'PCFWebUI: Data-driven WebUI for holistic decarbonization based on PCF-Tracking'
type: conference
user_id: '67234'
volume: 3759
year: '2024'
...
---
_id: '61182'
citation:
  ama: Herzig B, Eickelmann B, Schwabl F, Schulze J, Niemann J, eds. <i>Lehrkräftebildung
    in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven
    </i>. Vol 1. 1st ed. Waxmann; 2024. doi:<a href="https://doi.org/10.31244/9783830998372">10.31244/9783830998372</a>
  apa: Herzig, B., Eickelmann, B., Schwabl, F., Schulze, J., &#38; Niemann, J. (Eds.).
    (2024). <i>Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs-
    und Praxisperspektiven </i> (1st ed., Vol. 1). Waxmann. <a href="https://doi.org/10.31244/9783830998372">https://doi.org/10.31244/9783830998372</a>
  bibtex: '@book{Herzig_Eickelmann_Schwabl_Schulze_Niemann_2024, place={Münster},
    edition={1}, series={Paderborner Beiträge zur Bildungsforschung und Lehrkräftebildung},
    title={Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs-
    und Praxisperspektiven }, volume={1}, DOI={<a href="https://doi.org/10.31244/9783830998372">10.31244/9783830998372</a>},
    publisher={Waxmann}, year={2024}, collection={Paderborner Beiträge zur Bildungsforschung
    und Lehrkräftebildung} }'
  chicago: 'Herzig, Bardo, Birgit Eickelmann, Franziska Schwabl, Johanna Schulze,
    and Jan Niemann, eds. <i>Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte
    Forschungs- und Praxisperspektiven </i>. 1st ed. Vol. 1. Paderborner Beiträge
    zur Bildungsforschung und Lehrkräftebildung. Münster: Waxmann, 2024. <a href="https://doi.org/10.31244/9783830998372">https://doi.org/10.31244/9783830998372</a>.'
  ieee: 'B. Herzig, B. Eickelmann, F. Schwabl, J. Schulze, and J. Niemann, Eds., <i>Lehrkräftebildung
    in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven
    </i>, 1st ed., vol. 1. Münster: Waxmann, 2024.'
  mla: Herzig, Bardo, et al., editors. <i>Lehrkräftebildung in der digitalen Welt.
    Zukunftsorientierte Forschungs- und Praxisperspektiven </i>. 1st ed., vol. 1,
    Waxmann, 2024, doi:<a href="https://doi.org/10.31244/9783830998372">10.31244/9783830998372</a>.
  short: B. Herzig, B. Eickelmann, F. Schwabl, J. Schulze, J. Niemann, eds., Lehrkräftebildung
    in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven
    , 1st ed., Waxmann, Münster, 2024.
date_created: 2025-09-11T08:08:58Z
date_updated: 2025-09-11T10:44:31Z
department:
- _id: '33'
doi: 10.31244/9783830998372
edition: '1'
editor:
- first_name: Bardo
  full_name: Herzig, Bardo
  id: '217'
  last_name: Herzig
- first_name: Birgit
  full_name: Eickelmann, Birgit
  id: '40387'
  last_name: Eickelmann
  orcid: 0000-0001-6124-746X
- first_name: Franziska
  full_name: Schwabl, Franziska
  id: '37157'
  last_name: Schwabl
- first_name: Johanna
  full_name: Schulze, Johanna
  id: '34412'
  last_name: Schulze
  orcid: 0000-0001-6104-8583
- first_name: Jan
  full_name: Niemann, Jan
  last_name: Niemann
intvolume: '         1'
language:
- iso: ger
page: '285'
place: Münster
publication_identifier:
  eisbn:
  - 978-3-8309-9837-2
  isbn:
  - 978-3-8309-4837-7
  issn:
  - 2944-6791
publication_status: published
publisher: Waxmann
series_title: Paderborner Beiträge zur Bildungsforschung und Lehrkräftebildung
status: public
title: 'Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs- und
  Praxisperspektiven '
type: book_editor
user_id: '66956'
volume: 1
year: '2024'
...
---
_id: '61186'
citation:
  ama: Herzig B, Eickelmann B, Schwabl F, Schulze J, Niemann J, eds. <i>Lehrkräftebildung
    in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven</i>.
    Vol 1. 1st ed. Waxmann; 2024.
  apa: Herzig, B., Eickelmann, B., Schwabl, F., Schulze, J., &#38; Niemann, J. (Eds.).
    (2024). <i>Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs-
    und Praxisperspektiven</i> (1st ed., Vol. 1). Waxmann.
  bibtex: '@book{Herzig_Eickelmann_Schwabl_Schulze_Niemann_2024, place={Münster},
    edition={1}, series={Paderborner Beiträge zur Bildungsforschung und Lehrkräftebildung},
    title={Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs-
    und Praxisperspektiven}, volume={1}, publisher={Waxmann}, year={2024}, collection={Paderborner
    Beiträge zur Bildungsforschung und Lehrkräftebildung} }'
  chicago: 'Herzig, Bardo, Birgit Eickelmann, Franziska Schwabl, Johanna Schulze,
    and Jan Niemann, eds. <i>Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte
    Forschungs- und Praxisperspektiven</i>. 1st ed. Vol. 1. Paderborner Beiträge zur
    Bildungsforschung und Lehrkräftebildung. Münster: Waxmann, 2024.'
  ieee: 'B. Herzig, B. Eickelmann, F. Schwabl, J. Schulze, and J. Niemann, Eds., <i>Lehrkräftebildung
    in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven</i>,
    1st ed., vol. 1. Münster: Waxmann, 2024.'
  mla: Herzig, Bardo, et al., editors. <i>Lehrkräftebildung in der digitalen Welt.
    Zukunftsorientierte Forschungs- und Praxisperspektiven</i>. 1st ed., vol. 1, Waxmann,
    2024.
  short: B. Herzig, B. Eickelmann, F. Schwabl, J. Schulze, J. Niemann, eds., Lehrkräftebildung
    in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven,
    1st ed., Waxmann, Münster, 2024.
date_created: 2025-09-11T09:03:28Z
date_updated: 2025-09-11T10:47:50Z
department:
- _id: '459'
- _id: '33'
edition: '1'
editor:
- first_name: Bardo
  full_name: Herzig, Bardo
  id: '217'
  last_name: Herzig
- first_name: Birgit
  full_name: Eickelmann, Birgit
  id: '40387'
  last_name: Eickelmann
  orcid: 0000-0001-6124-746X
- first_name: Franziska
  full_name: Schwabl, Franziska
  id: '37157'
  last_name: Schwabl
- first_name: Johanna
  full_name: Schulze, Johanna
  id: '34412'
  last_name: Schulze
  orcid: 0000-0001-6104-8583
- first_name: Jan
  full_name: Niemann, Jan
  id: '32467'
  last_name: Niemann
intvolume: '         1'
language:
- iso: ger
page: '285'
place: Münster
publication_identifier:
  eisbn:
  - 978-3-8309-9837-2
  isbn:
  - 978-3-8309-4837-7
  issn:
  - 2944-6791
publication_status: published
publisher: Waxmann
series_title: Paderborner Beiträge zur Bildungsforschung und Lehrkräftebildung
status: public
title: Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs- und
  Praxisperspektiven
type: book_editor
user_id: '37157'
volume: 1
year: '2024'
...
---
_id: '55094'
author:
- first_name: Hamada Mohamed Abdelsamee
  full_name: Zahera, Hamada Mohamed Abdelsamee
  id: '72768'
  last_name: Zahera
  orcid: 0000-0003-0215-1278
- first_name: Ali
  full_name: Manzoor, Ali
  id: '77309'
  last_name: Manzoor
  orcid: https://orcid.org/0000-0001-8403-5160
- first_name: Mohamed
  full_name: Sherif, Mohamed
  id: '67234'
  last_name: Sherif
  orcid: https://orcid.org/0000-0002-9927-2203
- first_name: Diego
  full_name: Moussallem, Diego
  id: '71635'
  last_name: Moussallem
- first_name: Axel-Cyrille
  full_name: Ngonga Ngomo, Axel-Cyrille
  id: '65716'
  last_name: Ngonga Ngomo
citation:
  ama: 'Zahera HMA, Manzoor A, Sherif M, Moussallem D, Ngonga Ngomo A-C. Generating
    SPARQL from Natural Language Using Chain-of-Thoughts Prompting. In: <i>SEMANTiCS</i>.
    ; 2024.'
  apa: Zahera, H. M. A., Manzoor, A., Sherif, M., Moussallem, D., &#38; Ngonga Ngomo,
    A.-C. (2024). Generating SPARQL from Natural Language Using Chain-of-Thoughts
    Prompting. <i>SEMANTiCS</i>.
  bibtex: '@inproceedings{Zahera_Manzoor_Sherif_Moussallem_Ngonga Ngomo_2024, place={Amsterdam,
    Netherlands}, title={Generating SPARQL from Natural Language Using Chain-of-Thoughts
    Prompting}, booktitle={SEMANTiCS}, author={Zahera, Hamada Mohamed Abdelsamee and
    Manzoor, Ali and Sherif, Mohamed and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille},
    year={2024} }'
  chicago: Zahera, Hamada Mohamed Abdelsamee, Ali Manzoor, Mohamed Sherif, Diego Moussallem,
    and Axel-Cyrille Ngonga Ngomo. “Generating SPARQL from Natural Language Using
    Chain-of-Thoughts Prompting.” In <i>SEMANTiCS</i>. Amsterdam, Netherlands, 2024.
  ieee: H. M. A. Zahera, A. Manzoor, M. Sherif, D. Moussallem, and A.-C. Ngonga Ngomo,
    “Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting,” 2024.
  mla: Zahera, Hamada Mohamed Abdelsamee, et al. “Generating SPARQL from Natural Language
    Using Chain-of-Thoughts Prompting.” <i>SEMANTiCS</i>, 2024.
  short: 'H.M.A. Zahera, A. Manzoor, M. Sherif, D. Moussallem, A.-C. Ngonga Ngomo,
    in: SEMANTiCS, Amsterdam, Netherlands, 2024.'
date_created: 2024-07-05T13:59:24Z
date_updated: 2025-09-11T10:37:39Z
department:
- _id: '574'
keyword:
- TRR318 climatebowl colide dice enexa kiam manzoor moussallem ngonga sailproject
  sherif simba zahera
language:
- iso: eng
place: Amsterdam, Netherlands
publication: SEMANTiCS
status: public
title: Generating SPARQL from Natural Language Using Chain-of-Thoughts Prompting
type: conference
user_id: '67234'
year: '2024'
...
---
_id: '56190'
abstract:
- lang: eng
  text: 'This study investigates the potential of using advanced conversational artificial
    intelligence (AI) to help people understand complex AI systems. In line with conversation-analytic
    research, we view the participatory role of AI as dynamically unfolding in a situation
    rather than being predetermined by its architecture. To study user sensemaking
    of intransparent AI systems, we set up a naturalistic encounter between human
    participants and two AI systems developed in-house: a reinforcement learning simulation
    and a GPT-4-based explainer chatbot. Our results reveal that an explainer-AI only
    truly functions as such when participants actively engage with it as a co-constructive
    agent. Both the interface’s spatial configuration and the asynchronous temporal
    nature of the explainer AI – combined with the users’ presuppositions about its
    role – contribute to the decision whether to treat the AI as a dialogical co-participant
    in the interaction. Participants establish evidentiality conventions and sensemaking
    procedures that may diverge from a system’s intended design or function.'
article_type: original
author:
- first_name: Nils
  full_name: Klowait, Nils
  id: '98454'
  last_name: Klowait
  orcid: 0000-0002-7347-099X
- first_name: Maria
  full_name: Erofeeva, Maria
  last_name: Erofeeva
- first_name: Michael
  full_name: Lenke, Michael
  id: '32621'
  last_name: Lenke
- first_name: Ilona
  full_name: Horwath, Ilona
  id: '68836'
  last_name: Horwath
- first_name: Hendrik
  full_name: Buschmeier, Hendrik
  id: '76456'
  last_name: Buschmeier
  orcid: 0000-0002-9613-5713
citation:
  ama: Klowait N, Erofeeva M, Lenke M, Horwath I, Buschmeier H. Can AI explain AI?
    Interactive co-construction of explanations among human and artificial agents.
    <i>Discourse &#38; Communication</i>. 2024;18(6):917-930. doi:<a href="https://doi.org/10.1177/17504813241267069">10.1177/17504813241267069</a>
  apa: Klowait, N., Erofeeva, M., Lenke, M., Horwath, I., &#38; Buschmeier, H. (2024).
    Can AI explain AI? Interactive co-construction of explanations among human and
    artificial agents. <i>Discourse &#38; Communication</i>, <i>18</i>(6), 917–930.
    <a href="https://doi.org/10.1177/17504813241267069">https://doi.org/10.1177/17504813241267069</a>
  bibtex: '@article{Klowait_Erofeeva_Lenke_Horwath_Buschmeier_2024, title={Can AI
    explain AI? Interactive co-construction of explanations among human and artificial
    agents}, volume={18}, DOI={<a href="https://doi.org/10.1177/17504813241267069">10.1177/17504813241267069</a>},
    number={6}, journal={Discourse &#38; Communication}, publisher={Sage}, author={Klowait,
    Nils and Erofeeva, Maria and Lenke, Michael and Horwath, Ilona and Buschmeier,
    Hendrik}, year={2024}, pages={917–930} }'
  chicago: 'Klowait, Nils, Maria Erofeeva, Michael Lenke, Ilona Horwath, and Hendrik
    Buschmeier. “Can AI Explain AI? Interactive Co-Construction of Explanations among
    Human and Artificial Agents.” <i>Discourse &#38; Communication</i> 18, no. 6 (2024):
    917–30. <a href="https://doi.org/10.1177/17504813241267069">https://doi.org/10.1177/17504813241267069</a>.'
  ieee: 'N. Klowait, M. Erofeeva, M. Lenke, I. Horwath, and H. Buschmeier, “Can AI
    explain AI? Interactive co-construction of explanations among human and artificial
    agents,” <i>Discourse &#38; Communication</i>, vol. 18, no. 6, pp. 917–930, 2024,
    doi: <a href="https://doi.org/10.1177/17504813241267069">10.1177/17504813241267069</a>.'
  mla: Klowait, Nils, et al. “Can AI Explain AI? Interactive Co-Construction of Explanations
    among Human and Artificial Agents.” <i>Discourse &#38; Communication</i>, vol.
    18, no. 6, Sage, 2024, pp. 917–30, doi:<a href="https://doi.org/10.1177/17504813241267069">10.1177/17504813241267069</a>.
  short: N. Klowait, M. Erofeeva, M. Lenke, I. Horwath, H. Buschmeier, Discourse &#38;
    Communication 18 (2024) 917–930.
date_created: 2024-09-20T09:21:14Z
date_updated: 2025-09-11T14:09:42Z
ddc:
- '300'
department:
- _id: '660'
doi: 10.1177/17504813241267069
file:
- access_level: closed
  content_type: application/pdf
  creator: hbuschme
  date_created: 2024-10-03T16:03:33Z
  date_updated: 2024-10-03T16:03:33Z
  file_id: '56313'
  file_name: klowait-etal-2024-DCM.pdf
  file_size: 2488042
  relation: main_file
  success: 1
file_date_updated: 2024-10-03T16:03:33Z
has_accepted_license: '1'
intvolume: '        18'
issue: '6'
language:
- iso: eng
page: 917-930
project:
- _id: '119'
  name: 'TRR 318 - Ö: TRR 318 - Project Area Ö'
- _id: '112'
  name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
publication: Discourse & Communication
publication_status: published
publisher: Sage
quality_controlled: '1'
related_material:
  link:
  - relation: supplementary_material
    url: https://doi.org/10.17605/OSF.IO/4YMT3
status: public
title: Can AI explain AI? Interactive co-construction of explanations among human
  and artificial agents
type: journal_article
user_id: '98454'
volume: 18
year: '2024'
...
---
_id: '58224'
author:
- first_name: Philip
  full_name: Kenneweg, Philip
  last_name: Kenneweg
- first_name: Tristan
  full_name: Kenneweg, Tristan
  last_name: Kenneweg
- first_name: Fabian
  full_name: Fumagalli, Fabian
  last_name: Fumagalli
- first_name: Barbara
  full_name: Hammer, Barbara
  last_name: Hammer
citation:
  ama: 'Kenneweg P, Kenneweg T, Fumagalli F, Hammer B. No learning rates needed: Introducing
    SALSA - Stable Armijo Line Search Adaptation. In: <i>2024 International Joint
    Conference on Neural Networks (IJCNN)</i>. ; 2024:1-8. doi:<a href="https://doi.org/10.1109/IJCNN60899.2024.10650124">10.1109/IJCNN60899.2024.10650124</a>'
  apa: 'Kenneweg, P., Kenneweg, T., Fumagalli, F., &#38; Hammer, B. (2024). No learning
    rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. <i>2024
    International Joint Conference on Neural Networks (IJCNN)</i>, 1–8. <a href="https://doi.org/10.1109/IJCNN60899.2024.10650124">https://doi.org/10.1109/IJCNN60899.2024.10650124</a>'
  bibtex: '@inproceedings{Kenneweg_Kenneweg_Fumagalli_Hammer_2024, title={No learning
    rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation}, DOI={<a
    href="https://doi.org/10.1109/IJCNN60899.2024.10650124">10.1109/IJCNN60899.2024.10650124</a>},
    booktitle={2024 International Joint Conference on Neural Networks (IJCNN)}, author={Kenneweg,
    Philip and Kenneweg, Tristan and Fumagalli, Fabian and Hammer, Barbara}, year={2024},
    pages={1–8} }'
  chicago: 'Kenneweg, Philip, Tristan Kenneweg, Fabian Fumagalli, and Barbara Hammer.
    “No Learning Rates Needed: Introducing SALSA - Stable Armijo Line Search Adaptation.”
    In <i>2024 International Joint Conference on Neural Networks (IJCNN)</i>, 1–8,
    2024. <a href="https://doi.org/10.1109/IJCNN60899.2024.10650124">https://doi.org/10.1109/IJCNN60899.2024.10650124</a>.'
  ieee: 'P. Kenneweg, T. Kenneweg, F. Fumagalli, and B. Hammer, “No learning rates
    needed: Introducing SALSA - Stable Armijo Line Search Adaptation,” in <i>2024
    International Joint Conference on Neural Networks (IJCNN)</i>, 2024, pp. 1–8,
    doi: <a href="https://doi.org/10.1109/IJCNN60899.2024.10650124">10.1109/IJCNN60899.2024.10650124</a>.'
  mla: 'Kenneweg, Philip, et al. “No Learning Rates Needed: Introducing SALSA - Stable
    Armijo Line Search Adaptation.” <i>2024 International Joint Conference on Neural
    Networks (IJCNN)</i>, 2024, pp. 1–8, doi:<a href="https://doi.org/10.1109/IJCNN60899.2024.10650124">10.1109/IJCNN60899.2024.10650124</a>.'
  short: 'P. Kenneweg, T. Kenneweg, F. Fumagalli, B. Hammer, in: 2024 International
    Joint Conference on Neural Networks (IJCNN), 2024, pp. 1–8.'
date_created: 2025-01-16T16:21:28Z
date_updated: 2025-09-11T15:37:42Z
department:
- _id: '660'
doi: 10.1109/IJCNN60899.2024.10650124
keyword:
- Training
- Schedules
- Codes
- Search methods
- Source coding
- Computer architecture
- Transformers
language:
- iso: eng
page: 1-8
project:
- _id: '109'
  name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '117'
  name: 'TRR 318 - C: TRR 318 - Project Area C'
- _id: '126'
  name: 'TRR 318 - C3: TRR 318 - Subproject C3'
publication: 2024 International Joint Conference on Neural Networks (IJCNN)
status: public
title: 'No learning rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation'
type: conference
user_id: '93420'
year: '2024'
...
---
_id: '53073'
abstract:
- lang: eng
  text: While shallow decision trees may be interpretable, larger ensemble models
    like gradient-boosted trees, which often set the state of the art in machine learning
    problems involving tabular data, still remain black box models. As a remedy, the
    Shapley value (SV) is a well-known concept in explainable artificial intelligence
    (XAI) research for quantifying additive feature attributions of predictions. The
    model-specific TreeSHAP methodology solves the exponential complexity for retrieving
    exact SVs from tree-based models. Expanding beyond individual feature attribution,
    Shapley interactions reveal the impact of intricate feature interactions of any
    order. In this work, we present TreeSHAP-IQ, an efficient method to compute any-order
    additive Shapley interactions for predictions of tree-based models. TreeSHAP-IQ
    is supported by a mathematical framework that exploits polynomial arithmetic to
    compute the interaction scores in a single recursive traversal of the tree, akin
    to Linear TreeSHAP. We apply TreeSHAP-IQ on state-of-the-art tree ensembles and
    explore interactions on well-established benchmark datasets.
author:
- first_name: Maximilian
  full_name: Muschalik, Maximilian
  last_name: Muschalik
- first_name: Fabian
  full_name: Fumagalli, Fabian
  id: '93420'
  last_name: Fumagalli
- first_name: Barbara
  full_name: Hammer, Barbara
  last_name: Hammer
- first_name: Eyke
  full_name: Huellermeier, Eyke
  id: '48129'
  last_name: Huellermeier
citation:
  ama: 'Muschalik M, Fumagalli F, Hammer B, Huellermeier E. Beyond TreeSHAP: Efficient
    Computation of Any-Order Shapley Interactions for Tree Ensembles. In: <i>Proceedings
    of the AAAI Conference on Artificial Intelligence (AAAI)</i>. Vol 38. ; 2024:14388-14396.
    doi:<a href="https://doi.org/10.1609/aaai.v38i13.29352">10.1609/aaai.v38i13.29352</a>'
  apa: 'Muschalik, M., Fumagalli, F., Hammer, B., &#38; Huellermeier, E. (2024). Beyond
    TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.
    <i>Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)</i>, <i>38</i>(13),
    14388–14396. <a href="https://doi.org/10.1609/aaai.v38i13.29352">https://doi.org/10.1609/aaai.v38i13.29352</a>'
  bibtex: '@inproceedings{Muschalik_Fumagalli_Hammer_Huellermeier_2024, title={Beyond
    TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles},
    volume={38}, DOI={<a href="https://doi.org/10.1609/aaai.v38i13.29352">10.1609/aaai.v38i13.29352</a>},
    number={13}, booktitle={Proceedings of the AAAI Conference on Artificial Intelligence
    (AAAI)}, author={Muschalik, Maximilian and Fumagalli, Fabian and Hammer, Barbara
    and Huellermeier, Eyke}, year={2024}, pages={14388–14396} }'
  chicago: 'Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier.
    “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for
    Tree Ensembles.” In <i>Proceedings of the AAAI Conference on Artificial Intelligence
    (AAAI)</i>, 38:14388–96, 2024. <a href="https://doi.org/10.1609/aaai.v38i13.29352">https://doi.org/10.1609/aaai.v38i13.29352</a>.'
  ieee: 'M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Beyond TreeSHAP:
    Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles,” in
    <i>Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)</i>, 2024,
    vol. 38, no. 13, pp. 14388–14396, doi: <a href="https://doi.org/10.1609/aaai.v38i13.29352">10.1609/aaai.v38i13.29352</a>.'
  mla: 'Muschalik, Maximilian, et al. “Beyond TreeSHAP: Efficient Computation of Any-Order
    Shapley Interactions for Tree Ensembles.” <i>Proceedings of the AAAI Conference
    on Artificial Intelligence (AAAI)</i>, vol. 38, no. 13, 2024, pp. 14388–96, doi:<a
    href="https://doi.org/10.1609/aaai.v38i13.29352">10.1609/aaai.v38i13.29352</a>.'
  short: 'M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in: Proceedings
    of the AAAI Conference on Artificial Intelligence (AAAI), 2024, pp. 14388–14396.'
date_created: 2024-03-27T14:50:04Z
date_updated: 2025-09-11T16:20:11Z
department:
- _id: '660'
doi: 10.1609/aaai.v38i13.29352
intvolume: '        38'
issue: '13'
keyword:
- Explainable Artificial Intelligence
language:
- iso: eng
page: 14388-14396
project:
- _id: '126'
  name: 'TRR 318 - C3: TRR 318 - Subproject C3'
- _id: '109'
  name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '117'
  name: 'TRR 318 - C: TRR 318 - Project Area C'
publication: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)
publication_identifier:
  issn:
  - 2374-3468
  - 2159-5399
publication_status: published
status: public
title: 'Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for
  Tree Ensembles'
type: conference
user_id: '93420'
volume: 38
year: '2024'
...
---
_id: '55311'
abstract:
- lang: eng
  text: Addressing the limitations of individual attribution scores via the Shapley
    value (SV), the field of explainable AI (XAI) has recently explored intricate
    interactions of features or data points. In particular, extensions of the SV,
    such as the Shapley Interaction Index (SII), have been proposed as a measure to
    still benefit from the axiomatic basis of the SV. However, similar to the SV,
    their exact computation remains computationally prohibitive. Hence, we propose
    with SVARM-IQ a sampling-based approach to efficiently approximate Shapley-based
    interaction indices of any order. SVARM-IQ can be applied to a broad class of
    interaction indices, including the SII, by leveraging a novel stratified representation.
    We provide non-asymptotic theoretical guarantees on its approximation quality
    and empirically demonstrate that SVARM-IQ achieves state-of-the-art estimation
    results in practical XAI scenarios on different model classes and application
    domains.
author:
- first_name: Patrick
  full_name: Kolpaczki, Patrick
  last_name: Kolpaczki
- first_name: Maximilian
  full_name: Muschalik, Maximilian
  last_name: Muschalik
- first_name: Fabian
  full_name: Fumagalli, Fabian
  id: '93420'
  last_name: Fumagalli
- first_name: Barbara
  full_name: Hammer, Barbara
  last_name: Hammer
- first_name: Eyke
  full_name: Huellermeier, Eyke
  id: '48129'
  last_name: Huellermeier
citation:
  ama: 'Kolpaczki P, Muschalik M, Fumagalli F, Hammer B, Huellermeier E. SVARM-IQ:
    Efficient Approximation of Any-order Shapley Interactions through Stratification.
    In: <i>Proceedings of The 27th International Conference on Artificial Intelligence
    and Statistics (AISTATS)</i>. Vol 238. Proceedings of Machine Learning Research.
    PMLR; 2024:3520–3528.'
  apa: 'Kolpaczki, P., Muschalik, M., Fumagalli, F., Hammer, B., &#38; Huellermeier,
    E. (2024). SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions
    through Stratification. <i>Proceedings of The 27th International Conference on
    Artificial Intelligence and Statistics (AISTATS)</i>, <i>238</i>, 3520–3528.'
  bibtex: '@inproceedings{Kolpaczki_Muschalik_Fumagalli_Hammer_Huellermeier_2024,
    series={Proceedings of Machine Learning Research}, title={SVARM-IQ: Efficient
    Approximation of Any-order Shapley Interactions through Stratification}, volume={238},
    booktitle={Proceedings of The 27th International Conference on Artificial Intelligence
    and Statistics (AISTATS)}, publisher={PMLR}, author={Kolpaczki, Patrick and Muschalik,
    Maximilian and Fumagalli, Fabian and Hammer, Barbara and Huellermeier, Eyke},
    year={2024}, pages={3520–3528}, collection={Proceedings of Machine Learning Research}
    }'
  chicago: 'Kolpaczki, Patrick, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer,
    and Eyke Huellermeier. “SVARM-IQ: Efficient Approximation of Any-Order Shapley
    Interactions through Stratification.” In <i>Proceedings of The 27th International
    Conference on Artificial Intelligence and Statistics (AISTATS)</i>, 238:3520–3528.
    Proceedings of Machine Learning Research. PMLR, 2024.'
  ieee: 'P. Kolpaczki, M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier,
    “SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification,”
    in <i>Proceedings of The 27th International Conference on Artificial Intelligence
    and Statistics (AISTATS)</i>, 2024, vol. 238, pp. 3520–3528.'
  mla: 'Kolpaczki, Patrick, et al. “SVARM-IQ: Efficient Approximation of Any-Order
    Shapley Interactions through Stratification.” <i>Proceedings of The 27th International
    Conference on Artificial Intelligence and Statistics (AISTATS)</i>, vol. 238,
    PMLR, 2024, pp. 3520–3528.'
  short: 'P. Kolpaczki, M. Muschalik, F. Fumagalli, B. Hammer, E. Huellermeier, in:
    Proceedings of The 27th International Conference on Artificial Intelligence and
    Statistics (AISTATS), PMLR, 2024, pp. 3520–3528.'
date_created: 2024-07-18T09:39:14Z
date_updated: 2025-09-11T16:22:30Z
department:
- _id: '660'
intvolume: '       238'
language:
- iso: eng
page: 3520–3528
project:
- _id: '109'
  name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '117'
  name: 'TRR 318 - C: TRR 318 - Project Area C'
- _id: '126'
  name: 'TRR 318 - C3: TRR 318 - Subproject C3'
publication: Proceedings of The 27th International Conference on Artificial Intelligence
  and Statistics (AISTATS)
publisher: PMLR
series_title: Proceedings of Machine Learning Research
status: public
title: 'SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through
  Stratification'
type: conference
user_id: '93420'
volume: 238
year: '2024'
...
---
_id: '58223'
abstract:
- lang: eng
  text: The Shapley value (SV) is a prevalent approach of allocating credit to machine
    learning (ML) entities to understand black box ML models. Enriching such interpretations
    with higher-order interactions is inevitable for complex systems, where the Shapley
    Interaction Index (SII) is a direct axiomatic extension of the SV. While it is
    well-known that the SV yields an optimal approximation of any game via a weighted
    least square (WLS) objective, an extension of this result to SII has been a long-standing
    open problem, which even led to the proposal of an alternative index. In this
    work, we characterize higher-order SII as a solution to a WLS problem, which constructs
    an optimal approximation via SII and k-Shapley values (k-SII). We prove this representation
    for the SV and pairwise SII and give empirically validated conjectures for higher
    orders. As a result, we propose KernelSHAP-IQ, a direct extension of KernelSHAP
    for SII, and demonstrate state-of-the-art performance for feature interactions.
author:
- first_name: Fabian
  full_name: Fumagalli, Fabian
  last_name: Fumagalli
- first_name: Maximilian
  full_name: Muschalik, Maximilian
  last_name: Muschalik
- first_name: Patrick
  full_name: Kolpaczki, Patrick
  last_name: Kolpaczki
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  last_name: Hüllermeier
- first_name: Barbara
  full_name: Hammer, Barbara
  last_name: Hammer
citation:
  ama: 'Fumagalli F, Muschalik M, Kolpaczki P, Hüllermeier E, Hammer B. KernelSHAP-IQ:
    Weighted Least Square Optimization for Shapley Interactions. In: <i>Proceedings
    of the 41st International Conference on Machine Learning (ICML)</i>. Vol 235.
    Proceedings of Machine Learning Research. PMLR; 2024:14308–14342.'
  apa: 'Fumagalli, F., Muschalik, M., Kolpaczki, P., Hüllermeier, E., &#38; Hammer,
    B. (2024). KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.
    <i>Proceedings of the 41st International Conference on Machine Learning (ICML)</i>,
    <i>235</i>, 14308–14342.'
  bibtex: '@inproceedings{Fumagalli_Muschalik_Kolpaczki_Hüllermeier_Hammer_2024, series={Proceedings
    of Machine Learning Research}, title={KernelSHAP-IQ: Weighted Least Square Optimization
    for Shapley Interactions}, volume={235}, booktitle={Proceedings of the 41st International
    Conference on Machine Learning (ICML)}, publisher={PMLR}, author={Fumagalli, Fabian
    and Muschalik, Maximilian and Kolpaczki, Patrick and Hüllermeier, Eyke and Hammer,
    Barbara}, year={2024}, pages={14308–14342}, collection={Proceedings of Machine
    Learning Research} }'
  chicago: 'Fumagalli, Fabian, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier,
    and Barbara Hammer. “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley
    Interactions.” In <i>Proceedings of the 41st International Conference on Machine
    Learning (ICML)</i>, 235:14308–14342. Proceedings of Machine Learning Research.
    PMLR, 2024.'
  ieee: 'F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, and B. Hammer,
    “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions,”
    in <i>Proceedings of the 41st International Conference on Machine Learning (ICML)</i>,
    2024, vol. 235, pp. 14308–14342.'
  mla: 'Fumagalli, Fabian, et al. “KernelSHAP-IQ: Weighted Least Square Optimization
    for Shapley Interactions.” <i>Proceedings of the 41st International Conference
    on Machine Learning (ICML)</i>, vol. 235, PMLR, 2024, pp. 14308–14342.'
  short: 'F. Fumagalli, M. Muschalik, P. Kolpaczki, E. Hüllermeier, B. Hammer, in:
    Proceedings of the 41st International Conference on Machine Learning (ICML), PMLR,
    2024, pp. 14308–14342.'
date_created: 2025-01-16T16:12:16Z
date_updated: 2025-09-11T16:27:05Z
department:
- _id: '660'
intvolume: '       235'
language:
- iso: eng
page: 14308–14342
project:
- _id: '109'
  name: 'TRR 318: TRR 318 - Erklärbarkeit konstruieren'
- _id: '117'
  name: 'TRR 318 - C: TRR 318 - Project Area C'
- _id: '126'
  name: 'TRR 318 - C3: TRR 318 - Subproject C3'
publication: Proceedings of the 41st International Conference on Machine Learning
  (ICML)
publisher: PMLR
series_title: Proceedings of Machine Learning Research
status: public
title: 'KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions'
type: conference
user_id: '93420'
volume: 235
year: '2024'
...
---
_id: '61228'
author:
- first_name: Maximilian
  full_name: Muschalik, Maximilian
  last_name: Muschalik
- first_name: Hubert
  full_name: Baniecki, Hubert
  last_name: Baniecki
- first_name: Fabian
  full_name: Fumagalli, Fabian
  id: '93420'
  last_name: Fumagalli
- first_name: Patrick
  full_name: Kolpaczki, Patrick
  last_name: Kolpaczki
- first_name: Barbara
  full_name: Hammer, Barbara
  last_name: Hammer
- first_name: Eyke
  full_name: Huellermeier, Eyke
  id: '48129'
  last_name: Huellermeier
citation:
  ama: 'Muschalik M, Baniecki H, Fumagalli F, Kolpaczki P, Hammer B, Huellermeier
    E. shapiq: Shapley interactions for machine learning. In: <i>Advances in Neural
    Information Processing Systems (NeurIPS)</i>. Vol 37. ; 2024:130324–130357.'
  apa: 'Muschalik, M., Baniecki, H., Fumagalli, F., Kolpaczki, P., Hammer, B., &#38;
    Huellermeier, E. (2024). shapiq: Shapley interactions for machine learning. <i>Advances
    in Neural Information Processing Systems (NeurIPS)</i>, <i>37</i>, 130324–130357.'
  bibtex: '@inproceedings{Muschalik_Baniecki_Fumagalli_Kolpaczki_Hammer_Huellermeier_2024,
    title={shapiq: Shapley interactions for machine learning}, volume={37}, booktitle={Advances
    in Neural Information Processing Systems (NeurIPS)}, author={Muschalik, Maximilian
    and Baniecki, Hubert and Fumagalli, Fabian and Kolpaczki, Patrick and Hammer,
    Barbara and Huellermeier, Eyke}, year={2024}, pages={130324–130357} }'
  chicago: 'Muschalik, Maximilian, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki,
    Barbara Hammer, and Eyke Huellermeier. “Shapiq: Shapley Interactions for Machine
    Learning.” In <i>Advances in Neural Information Processing Systems (NeurIPS)</i>,
    37:130324–130357, 2024.'
  ieee: 'M. Muschalik, H. Baniecki, F. Fumagalli, P. Kolpaczki, B. Hammer, and E.
    Huellermeier, “shapiq: Shapley interactions for machine learning,” in <i>Advances
    in Neural Information Processing Systems (NeurIPS)</i>, 2024, vol. 37, pp. 130324–130357.'
  mla: 'Muschalik, Maximilian, et al. “Shapiq: Shapley Interactions for Machine Learning.”
    <i>Advances in Neural Information Processing Systems (NeurIPS)</i>, vol. 37, 2024,
    pp. 130324–130357.'
  short: 'M. Muschalik, H. Baniecki, F. Fumagalli, P. Kolpaczki, B. Hammer, E. Huellermeier,
    in: Advances in Neural Information Processing Systems (NeurIPS), 2024, pp. 130324–130357.'
date_created: 2025-09-11T15:39:01Z
date_updated: 2025-09-11T16:17:35Z
department:
- _id: '660'
intvolume: '        37'
language:
- iso: eng
page: 130324–130357
project:
- _id: '117'
  name: TRR 318 - Project Area C
- _id: '126'
  name: TRR 318 - Subproject C3
- _id: '109'
  name: 'TRR 318: Erklärbarkeit konstruieren'
publication: Advances in Neural Information Processing Systems (NeurIPS)
status: public
title: 'shapiq: Shapley interactions for machine learning'
type: conference
user_id: '93420'
volume: 37
year: '2024'
...
---
_id: '61230'
author:
- first_name: Patrick
  full_name: Kolpaczki, Patrick
  last_name: Kolpaczki
- first_name: Viktor
  full_name: Bengs, Viktor
  last_name: Bengs
- first_name: Maximilian
  full_name: Muschalik, Maximilian
  last_name: Muschalik
- first_name: Eyke
  full_name: Hüllermeier, Eyke
  last_name: Hüllermeier
citation:
  ama: 'Kolpaczki P, Bengs V, Muschalik M, Hüllermeier E. Approximating the shapley
    value without marginal contributions. In: <i>Proceedings of the AAAI Conference
    on Artificial Intelligence (AAAI)</i>. Vol 38. ; 2024:13246–13255.'
  apa: Kolpaczki, P., Bengs, V., Muschalik, M., &#38; Hüllermeier, E. (2024). Approximating
    the shapley value without marginal contributions. <i>Proceedings of the AAAI Conference
    on Artificial Intelligence (AAAI)</i>, <i>38</i>(12), 13246–13255.
  bibtex: '@inproceedings{Kolpaczki_Bengs_Muschalik_Hüllermeier_2024, title={Approximating
    the shapley value without marginal contributions}, volume={38}, number={12}, booktitle={Proceedings
    of the AAAI conference on Artificial Intelligence (AAAI)}, author={Kolpaczki,
    Patrick and Bengs, Viktor and Muschalik, Maximilian and Hüllermeier, Eyke}, year={2024},
    pages={13246–13255} }'
  chicago: Kolpaczki, Patrick, Viktor Bengs, Maximilian Muschalik, and Eyke Hüllermeier.
    “Approximating the Shapley Value without Marginal Contributions.” In <i>Proceedings
    of the AAAI Conference on Artificial Intelligence (AAAI)</i>, 38:13246–13255,
    2024.
  ieee: P. Kolpaczki, V. Bengs, M. Muschalik, and E. Hüllermeier, “Approximating the
    shapley value without marginal contributions,” in <i>Proceedings of the AAAI conference
    on Artificial Intelligence (AAAI)</i>, 2024, vol. 38, no. 12, pp. 13246–13255.
  mla: Kolpaczki, Patrick, et al. “Approximating the Shapley Value without Marginal
    Contributions.” <i>Proceedings of the AAAI Conference on Artificial Intelligence
    (AAAI)</i>, vol. 38, no. 12, 2024, pp. 13246–13255.
  short: 'P. Kolpaczki, V. Bengs, M. Muschalik, E. Hüllermeier, in: Proceedings of
    the AAAI Conference on Artificial Intelligence (AAAI), 2024, pp. 13246–13255.'
date_created: 2025-09-11T15:46:40Z
date_updated: 2025-09-11T16:17:54Z
department:
- _id: '660'
intvolume: '        38'
issue: '12'
language:
- iso: eng
page: 13246–13255
project:
- _id: '117'
  name: TRR 318 - Project Area C
- _id: '126'
  name: TRR 318 - Subproject C3
- _id: '109'
  name: 'TRR 318: Erklärbarkeit konstruieren'
publication: Proceedings of the AAAI conference on Artificial Intelligence (AAAI)
status: public
title: Approximating the shapley value without marginal contributions
type: conference
user_id: '93420'
volume: 38
year: '2024'
...
---
_id: '61180'
abstract:
- lang: eng
  text: Starting from the assumption that LLMs are systems bearing only formal but
    not functional linguistic competence, this short paper explores how the understanding
    capabilities of LLMs could be implicitly explained based on a “pause and refect”
    strategy. Specifically, we propose to include a virtual embodied agent in human
    interactions with LLM-based chatbots. The agent will use air quotes as multimodal
    metalinguistic markers to explicitly point to those parts of the LLM’s output
    that are relevant to explaining the LLM’s meaning understanding capabilities.
    At the same time, by scafolding users to perceive the output as ‘mentioned language’
    inferred from a metalinguistic function of multimodal markers, the agent implicitly
    explains how the meaning of the output should be understood. In this proposal,
    users will actively participate in the co-construction of the implicit explanation
    by providing feedback and deciding when and to what extent the agent’s scafold
    (e.g., the air quotes) is used.
author:
- first_name: Milena
  full_name: Belosevic, Milena
  last_name: Belosevic
- first_name: Hendrik
  full_name: Buschmeier, Hendrik
  id: '76456'
  last_name: Buschmeier
  orcid: 0000-0002-9613-5713
citation:
  ama: 'Belosevic M, Buschmeier H. Quote to explain: Using multimodal metalinguistic
    markers to explain large language models’ understanding capabilities. In: <i>ICMI
    Companion ’24: Companion Proceedings of the 26th International Conference on Multimodal
    Interaction</i>. ACM; 2024:225–227. doi:<a href="https://doi.org/10.1145/3686215.3689203">10.1145/3686215.3689203</a>'
  apa: 'Belosevic, M., &#38; Buschmeier, H. (2024). Quote to explain: Using multimodal
    metalinguistic markers to explain large language models’ understanding capabilities.
    <i>ICMI Companion ’24: Companion Proceedings of the 26th International Conference
    on Multimodal Interaction</i>, 225–227. <a href="https://doi.org/10.1145/3686215.3689203">https://doi.org/10.1145/3686215.3689203</a>'
  bibtex: '@inproceedings{Belosevic_Buschmeier_2024, place={San José, Costa Rica},
    title={Quote to explain: Using multimodal metalinguistic markers to explain large
    language models’ understanding capabilities}, DOI={<a href="https://doi.org/10.1145/3686215.3689203">10.1145/3686215.3689203</a>},
    booktitle={ICMI Companion ’24: Companion Proceedings of the 26th International
    Conference on Multimodal Interaction}, publisher={ACM}, author={Belosevic, Milena
    and Buschmeier, Hendrik}, year={2024}, pages={225–227} }'
  chicago: 'Belosevic, Milena, and Hendrik Buschmeier. “Quote to Explain: Using Multimodal
    Metalinguistic Markers to Explain Large Language Models’ Understanding Capabilities.”
    In <i>ICMI Companion ’24: Companion Proceedings of the 26th International Conference
    on Multimodal Interaction</i>, 225–227. San José, Costa Rica: ACM, 2024. <a href="https://doi.org/10.1145/3686215.3689203">https://doi.org/10.1145/3686215.3689203</a>.'
  ieee: 'M. Belosevic and H. Buschmeier, “Quote to explain: Using multimodal metalinguistic
    markers to explain large language models’ understanding capabilities,” in <i>ICMI
    Companion ’24: Companion Proceedings of the 26th International Conference on Multimodal
    Interaction</i>, San José, Costa Rica, 2024, pp. 225–227, doi: <a href="https://doi.org/10.1145/3686215.3689203">10.1145/3686215.3689203</a>.'
  mla: 'Belosevic, Milena, and Hendrik Buschmeier. “Quote to Explain: Using Multimodal
    Metalinguistic Markers to Explain Large Language Models’ Understanding Capabilities.”
    <i>ICMI Companion ’24: Companion Proceedings of the 26th International Conference
    on Multimodal Interaction</i>, ACM, 2024, pp. 225–227, doi:<a href="https://doi.org/10.1145/3686215.3689203">10.1145/3686215.3689203</a>.'
  short: 'M. Belosevic, H. Buschmeier, in: ICMI Companion ’24: Companion Proceedings
    of the 26th International Conference on Multimodal Interaction, ACM, San José,
    Costa Rica, 2024, pp. 225–227.'
conference:
  end_date: 2024-11-04
  location: San José, Costa Rica
  name: Multimodal Co-Construction of Explanations with XAI Workshop at ICMI 2024
  start_date: 2024-11-04
date_created: 2025-09-11T07:32:23Z
date_updated: 2025-09-12T06:25:45Z
doi: 10.1145/3686215.3689203
extern: '1'
language:
- iso: eng
page: 225–227
place: San José, Costa Rica
publication: 'ICMI Companion ’24: Companion Proceedings of the 26th International
  Conference on Multimodal Interaction'
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: 'Quote to explain: Using multimodal metalinguistic markers to explain large
  language models’ understanding capabilities'
type: conference
user_id: '76456'
year: '2024'
...
---
_id: '61176'
abstract:
- lang: eng
  text: We revisit the phenomenon of syntactic complexity convergence in conversational
    interaction, originally found for English dialogue, which has theoretical implication
    for dialogical concepts such as mutual understanding. We use a modified metric
    to quantify syntactic complexity based on dependency parsing. The results show
    that syntactic complexity convergence can be statistically confirmed in one of
    three selected German datasets that were analysed. Given that the dataset which
    shows such convergence is much larger than the other two selected datasets, the
    empirical results indicate a certain degree of linguistic generality of syntactic
    complexity convergence in conversational interaction. We also found a different
    type of syntactic complexity convergence in one of the datasets while further
    investigation is still necessary.
author:
- first_name: Yu
  full_name: Wang, Yu
  last_name: Wang
- first_name: Hendrik
  full_name: Buschmeier, Hendrik
  id: '76456'
  last_name: Buschmeier
  orcid: 0000-0002-9613-5713
citation:
  ama: 'Wang Y, Buschmeier H. Revisiting the phenomenon of syntactic complexity convergence
    on German dialogue data. In: <i>Proceedings of the 20th Conference on Natural
    Language Processing (KONVENS 2024)</i>. ; 2024:75–80.'
  apa: Wang, Y., &#38; Buschmeier, H. (2024). Revisiting the phenomenon of syntactic
    complexity convergence on German dialogue data. <i>Proceedings of the 20th Conference
    on Natural Language Processing (KONVENS 2024)</i>, 75–80.
  bibtex: '@inproceedings{Wang_Buschmeier_2024, place={Vienna, Austria}, title={Revisiting
    the phenomenon of syntactic complexity convergence on German dialogue data}, booktitle={Proceedings
    of the 20th Conference on Natural Language Processing (KONVENS 2024)}, author={Wang,
    Yu and Buschmeier, Hendrik}, year={2024}, pages={75–80} }'
  chicago: Wang, Yu, and Hendrik Buschmeier. “Revisiting the Phenomenon of Syntactic
    Complexity Convergence on German Dialogue Data.” In <i>Proceedings of the 20th
    Conference on Natural Language Processing (KONVENS 2024)</i>, 75–80. Vienna, Austria,
    2024.
  ieee: Y. Wang and H. Buschmeier, “Revisiting the phenomenon of syntactic complexity
    convergence on German dialogue data,” in <i>Proceedings of the 20th Conference
    on Natural Language Processing (KONVENS 2024)</i>, Vienna, Austria, 2024, pp.
    75–80.
  mla: Wang, Yu, and Hendrik Buschmeier. “Revisiting the Phenomenon of Syntactic Complexity
    Convergence on German Dialogue Data.” <i>Proceedings of the 20th Conference on
    Natural Language Processing (KONVENS 2024)</i>, 2024, pp. 75–80.
  short: 'Y. Wang, H. Buschmeier, in: Proceedings of the 20th Conference on Natural
    Language Processing (KONVENS 2024), Vienna, Austria, 2024, pp. 75–80.'
conference:
  end_date: 2024-09-12
  location: Vienna, Austria
  name: 20th Conference on Natural Language Processing (KONVENS 2024)
  start_date: 2024-09-11
date_created: 2025-09-11T07:08:24Z
date_updated: 2025-09-12T06:25:05Z
department:
- _id: '660'
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://aclanthology.org/2024.konvens-main.8
oa: '1'
page: 75–80
place: Vienna, Austria
project:
- _id: '112'
  name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
publication: Proceedings of the 20th Conference on Natural Language Processing (KONVENS
  2024)
publication_status: published
quality_controlled: '1'
status: public
title: Revisiting the phenomenon of syntactic complexity convergence on German dialogue
  data
type: conference
user_id: '76456'
year: '2024'
...
---
_id: '55911'
abstract:
- lang: eng
  text: According to the Entropy Rate Constancy (ERC) principle, the information density
    of a text is approximately constant over its length. Whether this principle also
    applies to nonverbal communication signals is still under investigation. We perform
    empirical analyses of video-recorded dialogue data and investigate whether listener
    gaze, as an important nonverbal communication signal, adheres to the ERC principle.
    Results show (1) that the ERC principle holds for listener gaze; and (2) that
    the two linguistic factors syntactic complexity and turn transition potential
    are weakly correlated with local entropy of listener gaze.
author:
- first_name: Yu
  full_name: Wang, Yu
  last_name: Wang
- first_name: Yang
  full_name: Xu, Yang
  last_name: Xu
- first_name: Gabriel
  full_name: Skantze, Gabriel
  last_name: Skantze
- first_name: Hendrik
  full_name: Buschmeier, Hendrik
  id: '76456'
  last_name: Buschmeier
  orcid: 0000-0002-9613-5713
citation:
  ama: 'Wang Y, Xu Y, Skantze G, Buschmeier H. How much does nonverbal communication
    conform to entropy rate constancy?: A case study on listener gaze in interaction.
    In: <i>Findings of the Association for Computational Linguistics ACL 2024</i>.
    ; 2024:3533–3545.'
  apa: 'Wang, Y., Xu, Y., Skantze, G., &#38; Buschmeier, H. (2024). How much does
    nonverbal communication conform to entropy rate constancy?: A case study on listener
    gaze in interaction. <i>Findings of the Association for Computational Linguistics
    ACL 2024</i>, 3533–3545.'
  bibtex: '@inproceedings{Wang_Xu_Skantze_Buschmeier_2024, place={Bangkok, Thailand},
    title={How much does nonverbal communication conform to entropy rate constancy?:
    A case study on listener gaze in interaction}, booktitle={Findings of the Association
    for Computational Linguistics ACL 2024}, author={Wang, Yu and Xu, Yang and Skantze,
    Gabriel and Buschmeier, Hendrik}, year={2024}, pages={3533–3545} }'
  chicago: 'Wang, Yu, Yang Xu, Gabriel Skantze, and Hendrik Buschmeier. “How Much
    Does Nonverbal Communication Conform to Entropy Rate Constancy?: A Case Study
    on Listener Gaze in Interaction.” In <i>Findings of the Association for Computational
    Linguistics ACL 2024</i>, 3533–3545. Bangkok, Thailand, 2024.'
  ieee: 'Y. Wang, Y. Xu, G. Skantze, and H. Buschmeier, “How much does nonverbal communication
    conform to entropy rate constancy?: A case study on listener gaze in interaction,”
    in <i>Findings of the Association for Computational Linguistics ACL 2024</i>,
    Bangkok, Thailand, 2024, pp. 3533–3545.'
  mla: 'Wang, Yu, et al. “How Much Does Nonverbal Communication Conform to Entropy
    Rate Constancy?: A Case Study on Listener Gaze in Interaction.” <i>Findings of
    the Association for Computational Linguistics ACL 2024</i>, 2024, pp. 3533–3545.'
  short: 'Y. Wang, Y. Xu, G. Skantze, H. Buschmeier, in: Findings of the Association
    for Computational Linguistics ACL 2024, Bangkok, Thailand, 2024, pp. 3533–3545.'
conference:
  location: Bangkok, Thailand
  name: 62nd Annual Meeting of the Association for Computational Linguistics
date_created: 2024-08-30T07:42:28Z
date_updated: 2025-09-12T06:25:05Z
department:
- _id: '660'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://aclanthology.org/2024.findings-acl.210/
oa: '1'
page: 3533–3545
place: Bangkok, Thailand
project:
- _id: '112'
  name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
    auswerten (Teilprojekt A02)'
publication: Findings of the Association for Computational Linguistics ACL 2024
quality_controlled: '1'
status: public
title: 'How much does nonverbal communication conform to entropy rate constancy?:
  A case study on listener gaze in interaction'
type: conference
user_id: '76456'
year: '2024'
...
---
_id: '56314'
author:
- first_name: Alina Naomi
  full_name: Riechmann, Alina Naomi
  last_name: Riechmann
- first_name: Hendrik
  full_name: Buschmeier, Hendrik
  id: '76456'
  last_name: Buschmeier
  orcid: 0000-0002-9613-5713
citation:
  ama: 'Riechmann AN, Buschmeier H. Automatic reconstruction of dialogue participants’
    coordinating gaze behavior from multiple camera perspectives. In: <i>Book of Abstracts
    of the 2nd International Multimodal Communication Symposium</i>. ; 2024:38–39.'
  apa: Riechmann, A. N., &#38; Buschmeier, H. (2024). Automatic reconstruction of
    dialogue participants’ coordinating gaze behavior from multiple camera perspectives.
    <i>Book of Abstracts of the 2nd International Multimodal Communication Symposium</i>,
    38–39.
  bibtex: '@inproceedings{Riechmann_Buschmeier_2024, place={Frankfurt am Main, Germany},
    title={Automatic reconstruction of dialogue participants’ coordinating gaze behavior
    from multiple camera perspectives}, booktitle={Book of Abstracts of the 2nd International
    Multimodal Communication Symposium}, author={Riechmann, Alina Naomi and Buschmeier,
    Hendrik}, year={2024}, pages={38–39} }'
  chicago: Riechmann, Alina Naomi, and Hendrik Buschmeier. “Automatic Reconstruction
    of Dialogue Participants’ Coordinating Gaze Behavior from Multiple Camera Perspectives.”
    In <i>Book of Abstracts of the 2nd International Multimodal Communication Symposium</i>,
    38–39. Frankfurt am Main, Germany, 2024.
  ieee: A. N. Riechmann and H. Buschmeier, “Automatic reconstruction of dialogue participants’
    coordinating gaze behavior from multiple camera perspectives,” in <i>Book of Abstracts
    of the 2nd International Multimodal Communication Symposium</i>, Frankfurt am
    Main, Germany, 2024, pp. 38–39.
  mla: Riechmann, Alina Naomi, and Hendrik Buschmeier. “Automatic Reconstruction of
    Dialogue Participants’ Coordinating Gaze Behavior from Multiple Camera Perspectives.”
    <i>Book of Abstracts of the 2nd International Multimodal Communication Symposium</i>,
    2024, pp. 38–39.
  short: 'A.N. Riechmann, H. Buschmeier, in: Book of Abstracts of the 2nd International
    Multimodal Communication Symposium, Frankfurt am Main, Germany, 2024, pp. 38–39.'
conference:
  end_date: 2024-09-27
  location: Frankfurt am Main, Germany
  name: 2nd International Multimodal Communication Symposium
  start_date: 2024-09-25
date_created: 2024-10-03T16:08:04Z
date_updated: 2025-09-12T06:30:39Z
department:
- _id: '660'
extern: '1'
language:
- iso: eng
page: 38–39
place: Frankfurt am Main, Germany
project:
- _id: '112'
  name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
    auswerten (Teilprojekt A02)'
publication: Book of Abstracts of the 2nd International Multimodal Communication Symposium
publication_status: published
quality_controlled: '1'
related_material:
  link:
  - relation: poster
    url: https://doi.org/10.6084/m9.figshare.27080500
status: public
title: Automatic reconstruction of dialogue participants’ coordinating gaze behavior
  from multiple camera perspectives
type: conference_abstract
user_id: '76456'
year: '2024'
...
---
_id: '58722'
abstract:
- lang: eng
  text: Dialects introduce syntactic and lexical variations in language that occur
    in regional or social groups. Most NLP methods are not sensitive to such variations.
    This may lead to unfair behavior of the methods, conveying negative bias towards
    dialect speakers. While previous work has studied dialect-related fairness for
    aspects like hate speech, other aspects of biased language, such as lewdness,
    remain fully unexplored. To fill this gap, we investigate performance disparities
    between dialects in the detection of five aspects of biased language and how to
    mitigate them. To alleviate bias, we present a multitask learning approach that
    models dialect language as an auxiliary task to incorporate syntactic and lexical
    variations. In our experiments with African-American English dialect, we provide
    empirical evidence that complementing common learning approaches with dialect
    modeling improves their fairness. Furthermore, the results suggest that multitask
    learning achieves state-of-the-art performance and helps to detect properties
    of biased language more reliably.
author:
- first_name: Maximilian
  full_name: Spliethöver, Maximilian
  id: '84035'
  last_name: Spliethöver
  orcid: 0000-0003-4364-1409
- first_name: Sai Nikhil
  full_name: Menon, Sai Nikhil
  last_name: Menon
- first_name: Henning
  full_name: Wachsmuth, Henning
  id: '3900'
  last_name: Wachsmuth
citation:
  ama: 'Spliethöver M, Menon SN, Wachsmuth H. Disentangling Dialect from Social Bias
    via Multitask Learning to Improve Fairness. In: Ku L-W, Martins A, Srikumar V,
    eds. <i>Findings of the Association for Computational Linguistics: ACL 2024</i>.
    Association for Computational Linguistics; 2024:9294–9313. doi:<a href="https://doi.org/10.18653/v1/2024.findings-acl.553">10.18653/v1/2024.findings-acl.553</a>'
  apa: 'Spliethöver, M., Menon, S. N., &#38; Wachsmuth, H. (2024). Disentangling Dialect
    from Social Bias via Multitask Learning to Improve Fairness. In L.-W. Ku, A. Martins,
    &#38; V. Srikumar (Eds.), <i>Findings of the Association for Computational Linguistics:
    ACL 2024</i> (pp. 9294–9313). Association for Computational Linguistics. <a href="https://doi.org/10.18653/v1/2024.findings-acl.553">https://doi.org/10.18653/v1/2024.findings-acl.553</a>'
  bibtex: '@inproceedings{Spliethöver_Menon_Wachsmuth_2024, place={Bangkok, Thailand},
    title={Disentangling Dialect from Social Bias via Multitask Learning to Improve
    Fairness}, DOI={<a href="https://doi.org/10.18653/v1/2024.findings-acl.553">10.18653/v1/2024.findings-acl.553</a>},
    booktitle={Findings of the Association for Computational Linguistics: ACL 2024},
    publisher={Association for Computational Linguistics}, author={Spliethöver, Maximilian
    and Menon, Sai Nikhil and Wachsmuth, Henning}, editor={Ku, Lun-Wei and Martins,
    Andre and Srikumar, Vivek}, year={2024}, pages={9294–9313} }'
  chicago: 'Spliethöver, Maximilian, Sai Nikhil Menon, and Henning Wachsmuth. “Disentangling
    Dialect from Social Bias via Multitask Learning to Improve Fairness.” In <i>Findings
    of the Association for Computational Linguistics: ACL 2024</i>, edited by Lun-Wei
    Ku, Andre Martins, and Vivek Srikumar, 9294–9313. Bangkok, Thailand: Association
    for Computational Linguistics, 2024. <a href="https://doi.org/10.18653/v1/2024.findings-acl.553">https://doi.org/10.18653/v1/2024.findings-acl.553</a>.'
  ieee: 'M. Spliethöver, S. N. Menon, and H. Wachsmuth, “Disentangling Dialect from
    Social Bias via Multitask Learning to Improve Fairness,” in <i>Findings of the
    Association for Computational Linguistics: ACL 2024</i>, 2024, pp. 9294–9313,
    doi: <a href="https://doi.org/10.18653/v1/2024.findings-acl.553">10.18653/v1/2024.findings-acl.553</a>.'
  mla: 'Spliethöver, Maximilian, et al. “Disentangling Dialect from Social Bias via
    Multitask Learning to Improve Fairness.” <i>Findings of the Association for Computational
    Linguistics: ACL 2024</i>, edited by Lun-Wei Ku et al., Association for Computational
    Linguistics, 2024, pp. 9294–9313, doi:<a href="https://doi.org/10.18653/v1/2024.findings-acl.553">10.18653/v1/2024.findings-acl.553</a>.'
  short: 'M. Spliethöver, S.N. Menon, H. Wachsmuth, in: L.-W. Ku, A. Martins, V. Srikumar
    (Eds.), Findings of the Association for Computational Linguistics: ACL 2024, Association
    for Computational Linguistics, Bangkok, Thailand, 2024, pp. 9294–9313.'
date_created: 2025-02-20T08:18:01Z
date_updated: 2025-09-12T09:52:59Z
department:
- _id: '600'
- _id: '660'
doi: 10.18653/v1/2024.findings-acl.553
editor:
- first_name: Lun-Wei
  full_name: Ku, Lun-Wei
  last_name: Ku
- first_name: Andre
  full_name: Martins, Andre
  last_name: Martins
- first_name: Vivek
  full_name: Srikumar, Vivek
  last_name: Srikumar
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://aclanthology.org/2024.findings-acl.553/
oa: '1'
page: 9294–9313
place: Bangkok, Thailand
project:
- _id: '118'
  name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: 'Findings of the Association for Computational Linguistics: ACL 2024'
publisher: Association for Computational Linguistics
related_material:
  link:
  - relation: software
    url: https://github.com/webis-de/acl24-dialect-aware-bias-detection
status: public
title: Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness
type: conference
user_id: '84035'
year: '2024'
...
---
_id: '61251'
abstract:
- lang: eng
  text: <jats:p>We theoretically investigate strategies for the deterministic creation
    of trains of time-bin entangled photons using an individual quantum emitter described
    by a Λ-type electronic system. We explicitly demonstrate the theoretical generation
    of linear cluster states with substantial numbers of entangled photonic qubits
    in full microscopic numerical simulations. The underlying scheme is based on the
    manipulation of ground state coherences through precise optical driving. One important
    finding is that the most easily accessible quality metrics, the achievable rotation
    fidelities, fall short in assessing the actual quantum correlations of the emitted
    photons in the face of losses. To address this, we explicitly calculate stabilizer
    generator expectation values as a superior gauge for the quantum properties of
    the generated many-photon state. With widespread applicability in other emitter
    and excitation–emission schemes also, our work lays the conceptual foundations
    for an in-depth practical analysis of time-bin entanglement based on full numerical
    simulations with predictive capabilities for realistic systems and setups, including
    losses and imperfections. The specific results shown in the present work illustrate
    that with controlled minimization of losses and realistic system parameters for
    quantum-dot type systems, useful linear cluster states of significant lengths
    can be generated in the calculations, discussing the possibility of scalability
    for quantum information processing endeavors.</jats:p>
article_number: '036110'
author:
- first_name: David
  full_name: Bauch, David
  last_name: Bauch
- first_name: Nikolas
  full_name: Köcher, Nikolas
  id: '79191'
  last_name: Köcher
- first_name: Nils
  full_name: Heinisch, Nils
  id: '90283'
  last_name: Heinisch
  orcid: 0009-0006-0984-2097
- first_name: Stefan
  full_name: Schumacher, Stefan
  id: '27271'
  last_name: Schumacher
  orcid: 0000-0003-4042-4951
citation:
  ama: Bauch D, Köcher N, Heinisch N, Schumacher S. Time-bin entanglement in the deterministic
    generation of linear photonic cluster states. <i>APL Quantum</i>. 2024;1(3). doi:<a
    href="https://doi.org/10.1063/5.0214197">10.1063/5.0214197</a>
  apa: Bauch, D., Köcher, N., Heinisch, N., &#38; Schumacher, S. (2024). Time-bin
    entanglement in the deterministic generation of linear photonic cluster states.
    <i>APL Quantum</i>, <i>1</i>(3), Article 036110. <a href="https://doi.org/10.1063/5.0214197">https://doi.org/10.1063/5.0214197</a>
  bibtex: '@article{Bauch_Köcher_Heinisch_Schumacher_2024, title={Time-bin entanglement
    in the deterministic generation of linear photonic cluster states}, volume={1},
    DOI={<a href="https://doi.org/10.1063/5.0214197">10.1063/5.0214197</a>}, number={3036110},
    journal={APL Quantum}, publisher={AIP Publishing}, author={Bauch, David and Köcher,
    Nikolas and Heinisch, Nils and Schumacher, Stefan}, year={2024} }'
  chicago: Bauch, David, Nikolas Köcher, Nils Heinisch, and Stefan Schumacher. “Time-Bin
    Entanglement in the Deterministic Generation of Linear Photonic Cluster States.”
    <i>APL Quantum</i> 1, no. 3 (2024). <a href="https://doi.org/10.1063/5.0214197">https://doi.org/10.1063/5.0214197</a>.
  ieee: 'D. Bauch, N. Köcher, N. Heinisch, and S. Schumacher, “Time-bin entanglement
    in the deterministic generation of linear photonic cluster states,” <i>APL Quantum</i>,
    vol. 1, no. 3, Art. no. 036110, 2024, doi: <a href="https://doi.org/10.1063/5.0214197">10.1063/5.0214197</a>.'
  mla: Bauch, David, et al. “Time-Bin Entanglement in the Deterministic Generation
    of Linear Photonic Cluster States.” <i>APL Quantum</i>, vol. 1, no. 3, 036110,
    AIP Publishing, 2024, doi:<a href="https://doi.org/10.1063/5.0214197">10.1063/5.0214197</a>.
  short: D. Bauch, N. Köcher, N. Heinisch, S. Schumacher, APL Quantum 1 (2024).
date_created: 2025-09-12T11:08:59Z
date_updated: 2025-09-12T11:11:32Z
department:
- _id: '15'
- _id: '170'
- _id: '297'
- _id: '35'
- _id: '230'
- _id: '27'
- _id: '429'
- _id: '623'
doi: 10.1063/5.0214197
intvolume: '         1'
issue: '3'
language:
- iso: eng
project:
- _id: '53'
  name: 'TRR 142: Maßgeschneiderte nichtlineare Photonik: Von grundlegenden Konzepten
    zu funktionellen Strukturen'
- _id: '56'
  name: TRR 142 - Project Area C
- _id: '173'
  name: 'TRR 142; TP C09: Ideale Erzeugung von Photonenpaaren für Verschränkungsaustausch
    bei Telekom Wellenlängen'
- _id: '52'
  name: Computing Resources Provided by the Paderborn Center for Parallel Computing
- _id: '266'
  name: 'PhoQC: Photonisches Quantencomputing'
publication: APL Quantum
publication_identifier:
  issn:
  - 2835-0103
publication_status: published
publisher: AIP Publishing
status: public
title: Time-bin entanglement in the deterministic generation of linear photonic cluster
  states
type: journal_article
user_id: '16199'
volume: 1
year: '2024'
...
---
_id: '61250'
author:
- first_name: Christoph
  full_name: Bennenhei, Christoph
  last_name: Bennenhei
- first_name: Hangyong
  full_name: Shan, Hangyong
  last_name: Shan
- first_name: Marti
  full_name: Struve, Marti
  last_name: Struve
- first_name: Nils
  full_name: Kunte, Nils
  last_name: Kunte
- first_name: Falk
  full_name: Eilenberger, Falk
  last_name: Eilenberger
- first_name: Jürgen
  full_name: Ohmer, Jürgen
  last_name: Ohmer
- first_name: Utz
  full_name: Fischer, Utz
  last_name: Fischer
- first_name: Stefan
  full_name: Schumacher, Stefan
  id: '27271'
  last_name: Schumacher
  orcid: 0000-0003-4042-4951
- first_name: Xuekai
  full_name: Ma, Xuekai
  id: '59416'
  last_name: Ma
- first_name: Christian
  full_name: Schneider, Christian
  last_name: Schneider
- first_name: Martin
  full_name: Esmann, Martin
  last_name: Esmann
citation:
  ama: Bennenhei C, Shan H, Struve M, et al. Organic Room-Temperature Polariton Condensate
    in a Higher-Order Topological Lattice. <i>ACS Photonics</i>. 2024;11(8):3046-3054.
    doi:<a href="https://doi.org/10.1021/acsphotonics.4c00268">10.1021/acsphotonics.4c00268</a>
  apa: Bennenhei, C., Shan, H., Struve, M., Kunte, N., Eilenberger, F., Ohmer, J.,
    Fischer, U., Schumacher, S., Ma, X., Schneider, C., &#38; Esmann, M. (2024). Organic
    Room-Temperature Polariton Condensate in a Higher-Order Topological Lattice. <i>ACS
    Photonics</i>, <i>11</i>(8), 3046–3054. <a href="https://doi.org/10.1021/acsphotonics.4c00268">https://doi.org/10.1021/acsphotonics.4c00268</a>
  bibtex: '@article{Bennenhei_Shan_Struve_Kunte_Eilenberger_Ohmer_Fischer_Schumacher_Ma_Schneider_et
    al._2024, title={Organic Room-Temperature Polariton Condensate in a Higher-Order
    Topological Lattice}, volume={11}, DOI={<a href="https://doi.org/10.1021/acsphotonics.4c00268">10.1021/acsphotonics.4c00268</a>},
    number={8}, journal={ACS Photonics}, publisher={American Chemical Society (ACS)},
    author={Bennenhei, Christoph and Shan, Hangyong and Struve, Marti and Kunte, Nils
    and Eilenberger, Falk and Ohmer, Jürgen and Fischer, Utz and Schumacher, Stefan
    and Ma, Xuekai and Schneider, Christian and et al.}, year={2024}, pages={3046–3054}
    }'
  chicago: 'Bennenhei, Christoph, Hangyong Shan, Marti Struve, Nils Kunte, Falk Eilenberger,
    Jürgen Ohmer, Utz Fischer, et al. “Organic Room-Temperature Polariton Condensate
    in a Higher-Order Topological Lattice.” <i>ACS Photonics</i> 11, no. 8 (2024):
    3046–54. <a href="https://doi.org/10.1021/acsphotonics.4c00268">https://doi.org/10.1021/acsphotonics.4c00268</a>.'
  ieee: 'C. Bennenhei <i>et al.</i>, “Organic Room-Temperature Polariton Condensate
    in a Higher-Order Topological Lattice,” <i>ACS Photonics</i>, vol. 11, no. 8,
    pp. 3046–3054, 2024, doi: <a href="https://doi.org/10.1021/acsphotonics.4c00268">10.1021/acsphotonics.4c00268</a>.'
  mla: Bennenhei, Christoph, et al. “Organic Room-Temperature Polariton Condensate
    in a Higher-Order Topological Lattice.” <i>ACS Photonics</i>, vol. 11, no. 8,
    American Chemical Society (ACS), 2024, pp. 3046–54, doi:<a href="https://doi.org/10.1021/acsphotonics.4c00268">10.1021/acsphotonics.4c00268</a>.
  short: C. Bennenhei, H. Shan, M. Struve, N. Kunte, F. Eilenberger, J. Ohmer, U.
    Fischer, S. Schumacher, X. Ma, C. Schneider, M. Esmann, ACS Photonics 11 (2024)
    3046–3054.
date_created: 2025-09-12T11:06:43Z
date_updated: 2025-09-12T11:08:26Z
department:
- _id: '15'
- _id: '170'
- _id: '297'
- _id: '705'
- _id: '35'
- _id: '230'
doi: 10.1021/acsphotonics.4c00268
intvolume: '        11'
issue: '8'
language:
- iso: eng
page: 3046-3054
publication: ACS Photonics
publication_identifier:
  issn:
  - 2330-4022
  - 2330-4022
publication_status: published
publisher: American Chemical Society (ACS)
status: public
title: Organic Room-Temperature Polariton Condensate in a Higher-Order Topological
  Lattice
type: journal_article
user_id: '16199'
volume: 11
year: '2024'
...