---
_id: '61177'
abstract:
- lang: eng
text: Human and model-generated texts can be distinguished by examining the magnitude
of likelihood in language. However, it is becoming increasingly difficult as language
model's capabilities of generating human-like texts keep evolving. This study
provides a new perspective by using the relative likelihood values instead of
absolute ones, and extracting useful features from the spectrum-view of likelihood
for the human-model text detection task. We propose a detection procedure with
two classification methods, supervised and heuristic-based, respectively, which
results in competitive performances with previous zero-shot detection methods
and a new state-of-the-art on short-text detection. Our method can also reveal
subtle differences between human and model languages, which find theoretical roots
in psycholinguistics studies.
author:
- first_name: Yang
full_name: Xu, Yang
last_name: Xu
- first_name: Yu
full_name: Wang, Yu
last_name: Wang
- first_name: Hao
full_name: An, Hao
last_name: An
- first_name: Zhichen
full_name: Liu, Zhichen
last_name: Liu
- first_name: Yongyuan
full_name: Li, Yongyuan
last_name: Li
citation:
ama: 'Xu Y, Wang Y, An H, Liu Z, Li Y. Detecting subtle differences between human
and model languages using spectrum of relative likelihood. In: Proceedings
of the 2024 Conference on Empirical Methods in Natural Language Processing.
ACL; 2024:10108–10121. doi:10.18653/v1/2024.emnlp-main.564'
apa: Xu, Y., Wang, Y., An, H., Liu, Z., & Li, Y. (2024). Detecting subtle differences
between human and model languages using spectrum of relative likelihood. Proceedings
of the 2024 Conference on Empirical Methods in Natural Language Processing,
10108–10121. https://doi.org/10.18653/v1/2024.emnlp-main.564
bibtex: '@inproceedings{Xu_Wang_An_Liu_Li_2024, place={Miami, FL, USA}, title={Detecting
subtle differences between human and model languages using spectrum of relative
likelihood}, DOI={10.18653/v1/2024.emnlp-main.564},
booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural
Language Processing}, publisher={ACL}, author={Xu, Yang and Wang, Yu and An, Hao
and Liu, Zhichen and Li, Yongyuan}, year={2024}, pages={10108–10121} }'
chicago: 'Xu, Yang, Yu Wang, Hao An, Zhichen Liu, and Yongyuan Li. “Detecting Subtle
Differences between Human and Model Languages Using Spectrum of Relative Likelihood.”
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language
Processing, 10108–10121. Miami, FL, USA: ACL, 2024. https://doi.org/10.18653/v1/2024.emnlp-main.564.'
ieee: 'Y. Xu, Y. Wang, H. An, Z. Liu, and Y. Li, “Detecting subtle differences between
human and model languages using spectrum of relative likelihood,” in Proceedings
of the 2024 Conference on Empirical Methods in Natural Language Processing,
Miami, FL, USA, 2024, pp. 10108–10121, doi: 10.18653/v1/2024.emnlp-main.564.'
mla: Xu, Yang, et al. “Detecting Subtle Differences between Human and Model Languages
Using Spectrum of Relative Likelihood.” Proceedings of the 2024 Conference
on Empirical Methods in Natural Language Processing, ACL, 2024, pp. 10108–10121,
doi:10.18653/v1/2024.emnlp-main.564.
short: 'Y. Xu, Y. Wang, H. An, Z. Liu, Y. Li, in: Proceedings of the 2024 Conference
on Empirical Methods in Natural Language Processing, ACL, Miami, FL, USA, 2024,
pp. 10108–10121.'
conference:
end_date: 2024-11-16
location: Miami, FL, USA
name: 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP
2024)
start_date: 2024-11-12
date_created: 2025-09-11T07:11:34Z
date_updated: 2025-09-11T10:15:56Z
department:
- _id: '660'
doi: 10.18653/v1/2024.emnlp-main.564
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.18653/v1/2024.emnlp-main.564
oa: '1'
page: 10108–10121
place: Miami, FL, USA
project:
- _id: '112'
name: 'TRR 318; TP A02: Verstehensprozess einer Erklärung beobachten und auswerten'
publication: Proceedings of the 2024 Conference on Empirical Methods in Natural Language
Processing
publication_status: published
publisher: ACL
quality_controlled: '1'
status: public
title: Detecting subtle differences between human and model languages using spectrum
of relative likelihood
type: conference
user_id: '76456'
year: '2024'
...
---
_id: '56985'
author:
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Stefan
full_name: Kopp, Stefan
last_name: Kopp
- first_name: Teena
full_name: Hassan, Teena
last_name: Hassan
citation:
ama: 'Buschmeier H, Kopp S, Hassan T. Multimodal Co-Construction of Explanations
with XAI Workshop. In: Proceedings of the 26th ACM International Conference
on Multimodal Interaction. ACM; 2024:698-699. doi:10.1145/3678957.3689205'
apa: Buschmeier, H., Kopp, S., & Hassan, T. (2024). Multimodal Co-Construction
of Explanations with XAI Workshop. Proceedings of the 26th ACM International
Conference on Multimodal Interaction, 698–699. https://doi.org/10.1145/3678957.3689205
bibtex: '@inproceedings{Buschmeier_Kopp_Hassan_2024, title={Multimodal Co-Construction
of Explanations with XAI Workshop}, DOI={10.1145/3678957.3689205},
booktitle={Proceedings of the 26th ACM International Conference on Multimodal
Interaction}, publisher={ACM}, author={Buschmeier, Hendrik and Kopp, Stefan and
Hassan, Teena}, year={2024}, pages={698–699} }'
chicago: Buschmeier, Hendrik, Stefan Kopp, and Teena Hassan. “Multimodal Co-Construction
of Explanations with XAI Workshop.” In Proceedings of the 26th ACM International
Conference on Multimodal Interaction, 698–99. ACM, 2024. https://doi.org/10.1145/3678957.3689205.
ieee: 'H. Buschmeier, S. Kopp, and T. Hassan, “Multimodal Co-Construction of Explanations
with XAI Workshop,” in Proceedings of the 26th ACM International Conference
on Multimodal Interaction, San José, Costa Rica, 2024, pp. 698–699, doi: 10.1145/3678957.3689205.'
mla: Buschmeier, Hendrik, et al. “Multimodal Co-Construction of Explanations with
XAI Workshop.” Proceedings of the 26th ACM International Conference on Multimodal
Interaction, ACM, 2024, pp. 698–99, doi:10.1145/3678957.3689205.
short: 'H. Buschmeier, S. Kopp, T. Hassan, in: Proceedings of the 26th ACM International
Conference on Multimodal Interaction, ACM, 2024, pp. 698–699.'
conference:
end_date: 2024-11-08
location: San José, Costa Rica
name: 26th ACM International Conference on Multimodal Interaction
start_date: 2024-11-04
date_created: 2024-11-11T15:56:11Z
date_updated: 2025-09-11T10:16:48Z
department:
- _id: '660'
doi: 10.1145/3678957.3689205
extern: '1'
language:
- iso: eng
page: 698-699
publication: Proceedings of the 26th ACM International Conference on Multimodal Interaction
publication_status: published
publisher: ACM
status: public
title: Multimodal Co-Construction of Explanations with XAI Workshop
type: conference_abstract
user_id: '76456'
year: '2024'
...
---
_id: '55916'
abstract:
- lang: eng
text: To produce explanations that are more likely to be accepted by humans, Explainable
Artificial Intelligence (XAI) systems need to incorporate explanation models grounded
in human communication patterns. So far, little is known about how an explainee,
who lacks understanding of an issue, and an explainer, who has knowledge to fill
the explainee's knowledge gap, actively shape an explanation process, and how
their involvement relates to explanatory success in terms of maximizing the explainee's
level of understanding. In this paper, we characterize explanations as dialogues
in which explainee and explainer take turns to advance the explanation process.
We build on an existing annotation scheme of ‘explanatory moves’ to characterize
such turns, and manually annotate 362 dialogical explanations from the “Explain
Like I'm Five” subreddit. Building on the annotated data, we compute correlations
between explanatory moves and explanatory success, measured on a five-point Likert
scale, in order to identify factors that are significantly correlated with explanatory
success. Based on a qualitative analysis of these factors, we develop a conceptual
model of the main factors that contribute to the success of explanatory dialogues.
author:
- first_name: Meisam
full_name: Booshehri, Meisam
last_name: Booshehri
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Philipp
full_name: Cimiano, Philipp
last_name: Cimiano
citation:
ama: 'Booshehri M, Buschmeier H, Cimiano P. A model of factors contributing to the
success of dialogical explanations. In: Proceedings of the 26th ACM International
Conference on Multimodal Interaction. ACM; 2024:373-381. doi:10.1145/3678957.3685744'
apa: Booshehri, M., Buschmeier, H., & Cimiano, P. (2024). A model of factors
contributing to the success of dialogical explanations. Proceedings of the
26th ACM International Conference on Multimodal Interaction, 373–381. https://doi.org/10.1145/3678957.3685744
bibtex: '@inproceedings{Booshehri_Buschmeier_Cimiano_2024, place={San José, Costa
Rica}, title={A model of factors contributing to the success of dialogical explanations},
DOI={10.1145/3678957.3685744},
booktitle={Proceedings of the 26th ACM International Conference on Multimodal
Interaction}, publisher={ACM}, author={Booshehri, Meisam and Buschmeier, Hendrik
and Cimiano, Philipp}, year={2024}, pages={373–381} }'
chicago: 'Booshehri, Meisam, Hendrik Buschmeier, and Philipp Cimiano. “A Model of
Factors Contributing to the Success of Dialogical Explanations.” In Proceedings
of the 26th ACM International Conference on Multimodal Interaction, 373–81.
San José, Costa Rica: ACM, 2024. https://doi.org/10.1145/3678957.3685744.'
ieee: 'M. Booshehri, H. Buschmeier, and P. Cimiano, “A model of factors contributing
to the success of dialogical explanations,” in Proceedings of the 26th ACM
International Conference on Multimodal Interaction, San José, Costa Rica,
2024, pp. 373–381, doi: 10.1145/3678957.3685744.'
mla: Booshehri, Meisam, et al. “A Model of Factors Contributing to the Success of
Dialogical Explanations.” Proceedings of the 26th ACM International Conference
on Multimodal Interaction, ACM, 2024, pp. 373–81, doi:10.1145/3678957.3685744.
short: 'M. Booshehri, H. Buschmeier, P. Cimiano, in: Proceedings of the 26th ACM
International Conference on Multimodal Interaction, ACM, San José, Costa Rica,
2024, pp. 373–381.'
conference:
end_date: 2024-11-08
location: San José, Costa Rica
name: 26th ACM International Conference on Multimodal Interaction
start_date: 2024-11-04
date_created: 2024-08-30T07:55:36Z
date_updated: 2025-09-11T10:16:55Z
department:
- _id: '660'
doi: 10.1145/3678957.3685744
extern: '1'
language:
- iso: eng
page: 373-381
place: San José, Costa Rica
project:
- _id: '112'
name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
auswerten (Teilprojekt A02)'
- _id: '118'
name: 'TRR 318 - INF: TRR 318 - Project Area INF'
publication: Proceedings of the 26th ACM International Conference on Multimodal Interaction
publication_status: published
publisher: ACM
quality_controlled: '1'
status: public
title: A model of factors contributing to the success of dialogical explanations
type: conference
user_id: '76456'
year: '2024'
...
---
_id: '55995'
abstract:
- lang: eng
text: Scripted dialogues such as movie and TV subtitles constitute a widespread
source of training data for conversational NLP models. However, there are notable
linguistic differences between these dialogues and spontaneous interactions, especially
regarding the occurrence of communicative feedback such as backchannels, acknowledgments,
or clarification requests. This paper presents a quantitative analysis of such
feedback phenomena in both subtitles and spontaneous conversations. Based on conversational
data spanning eight languages and multiple genres, we extract lexical statistics,
classifications from a dialogue act tagger, expert annotations and labels derived
from a fine-tuned Large Language Model (LLM). Our main empirical findings are
that (1) communicative feedback is markedly less frequent in subtitles than in
spontaneous dialogues and (2) subtitles contain a higher proportion of negative
feedback. We also show that dialogues generated by standard LLMs lie much closer
to scripted dialogues than spontaneous interactions in terms of communicative
feedback.
author:
- first_name: Ildikó
full_name: Pilán, Ildikó
last_name: Pilán
- first_name: Laurent
full_name: Prévot, Laurent
last_name: Prévot
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Pierre
full_name: Lison, Pierre
last_name: Lison
citation:
ama: 'Pilán I, Prévot L, Buschmeier H, Lison P. Conversational feedback in scripted
versus spontaneous dialogues: A comparative analysis. In: Proceedings of the
25th Meeting of the Special Interest Group on Discourse and Dialogue. ; 2024:440–457.
doi:10.18653/v1/2024.sigdial-1.38'
apa: 'Pilán, I., Prévot, L., Buschmeier, H., & Lison, P. (2024). Conversational
feedback in scripted versus spontaneous dialogues: A comparative analysis. Proceedings
of the 25th Meeting of the Special Interest Group on Discourse and Dialogue,
440–457. https://doi.org/10.18653/v1/2024.sigdial-1.38'
bibtex: '@inproceedings{Pilán_Prévot_Buschmeier_Lison_2024, place={Kyoto, Japan},
title={Conversational feedback in scripted versus spontaneous dialogues: A comparative
analysis}, DOI={10.18653/v1/2024.sigdial-1.38},
booktitle={Proceedings of the 25th Meeting of the Special Interest Group on Discourse
and Dialogue}, author={Pilán, Ildikó and Prévot, Laurent and Buschmeier, Hendrik
and Lison, Pierre}, year={2024}, pages={440–457} }'
chicago: 'Pilán, Ildikó, Laurent Prévot, Hendrik Buschmeier, and Pierre Lison. “Conversational
Feedback in Scripted versus Spontaneous Dialogues: A Comparative Analysis.” In
Proceedings of the 25th Meeting of the Special Interest Group on Discourse
and Dialogue, 440–457. Kyoto, Japan, 2024. https://doi.org/10.18653/v1/2024.sigdial-1.38.'
ieee: 'I. Pilán, L. Prévot, H. Buschmeier, and P. Lison, “Conversational feedback
in scripted versus spontaneous dialogues: A comparative analysis,” in Proceedings
of the 25th Meeting of the Special Interest Group on Discourse and Dialogue,
Kyoto, Japan, 2024, pp. 440–457, doi: 10.18653/v1/2024.sigdial-1.38.'
mla: 'Pilán, Ildikó, et al. “Conversational Feedback in Scripted versus Spontaneous
Dialogues: A Comparative Analysis.” Proceedings of the 25th Meeting of the
Special Interest Group on Discourse and Dialogue, 2024, pp. 440–457, doi:10.18653/v1/2024.sigdial-1.38.'
short: 'I. Pilán, L. Prévot, H. Buschmeier, P. Lison, in: Proceedings of the 25th
Meeting of the Special Interest Group on Discourse and Dialogue, Kyoto, Japan,
2024, pp. 440–457.'
conference:
end_date: 2024-09-20
location: Kyoto, Japan
name: 25th Meeting of the Special Interest Group on Discourse and Dialogue (SIGdial
2024)
start_date: 2024-09-18
date_created: 2024-09-03T07:39:14Z
date_updated: 2025-09-11T10:17:21Z
department:
- _id: '660'
doi: 10.18653/v1/2024.sigdial-1.38
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 440–457
place: Kyoto, Japan
project:
- _id: '112'
name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
auswerten (Teilprojekt A02)'
publication: Proceedings of the 25th Meeting of the Special Interest Group on Discourse
and Dialogue
publication_status: published
quality_controlled: '1'
status: public
title: 'Conversational feedback in scripted versus spontaneous dialogues: A comparative
analysis'
type: conference
user_id: '76456'
year: '2024'
...
---
_id: '55913'
abstract:
- lang: eng
text: 'We examined the turn-taking dynamics across different phases of explanatory
dialogues, in which 21 different explainers explained a board game to 2–3 explainees
each. Turn-taking dynamics are investigated focusing on >19K floor transitions,
i.e., the detailed patterns characterizing turn keeping or turn yielding events
(Gilmartin et al., 2020). The explanations were characterized by three different
phases (board game absent, board game present, interactive game play), for which
we observed differences in turn-taking dynamics: explanations where the board
game is absent are characterized by less complex floor transitions, while explanations
with a concretely shared reference space are characterized by more complex floor
transitions, as well as more floor transitions between interlocutors. Also, the
speakers’ dialogue role (explainer vs. explainee) appears to have a strong impact
on turn-taking dynamics, as floor transitions that do not conform with the dialogue
role tend to involve more effort, or floor management work.'
author:
- first_name: Petra
full_name: Wagner, Petra
id: '74505'
last_name: Wagner
- first_name: Marcin
full_name: Włodarczak, Marcin
last_name: Włodarczak
- first_name: Hendrik
full_name: Buschmeier, Hendrik
id: '76456'
last_name: Buschmeier
orcid: 0000-0002-9613-5713
- first_name: Olcay
full_name: Türk, Olcay
last_name: Türk
- first_name: Emer
full_name: Gilmartin, Emer
last_name: Gilmartin
citation:
ama: 'Wagner P, Włodarczak M, Buschmeier H, Türk O, Gilmartin E. Turn-taking dynamics
across different phases of explanatory dialogues. In: Proceedings of the 28th
Workshop on the Semantics and Pragmatics of Dialogue. ; 2024:6-14.'
apa: Wagner, P., Włodarczak, M., Buschmeier, H., Türk, O., & Gilmartin, E. (2024).
Turn-taking dynamics across different phases of explanatory dialogues. Proceedings
of the 28th Workshop on the Semantics and Pragmatics of Dialogue, 6–14.
bibtex: '@inproceedings{Wagner_Włodarczak_Buschmeier_Türk_Gilmartin_2024, place={Trento,
Italy}, title={Turn-taking dynamics across different phases of explanatory dialogues},
booktitle={Proceedings of the 28th Workshop on the Semantics and Pragmatics of
Dialogue}, author={Wagner, Petra and Włodarczak, Marcin and Buschmeier, Hendrik
and Türk, Olcay and Gilmartin, Emer}, year={2024}, pages={6–14} }'
chicago: Wagner, Petra, Marcin Włodarczak, Hendrik Buschmeier, Olcay Türk, and Emer
Gilmartin. “Turn-Taking Dynamics across Different Phases of Explanatory Dialogues.”
In Proceedings of the 28th Workshop on the Semantics and Pragmatics of Dialogue,
6–14. Trento, Italy, 2024.
ieee: P. Wagner, M. Włodarczak, H. Buschmeier, O. Türk, and E. Gilmartin, “Turn-taking
dynamics across different phases of explanatory dialogues,” in Proceedings
of the 28th Workshop on the Semantics and Pragmatics of Dialogue, Trento,
Italy, 2024, pp. 6–14.
mla: Wagner, Petra, et al. “Turn-Taking Dynamics across Different Phases of Explanatory
Dialogues.” Proceedings of the 28th Workshop on the Semantics and Pragmatics
of Dialogue, 2024, pp. 6–14.
short: 'P. Wagner, M. Włodarczak, H. Buschmeier, O. Türk, E. Gilmartin, in: Proceedings
of the 28th Workshop on the Semantics and Pragmatics of Dialogue, Trento, Italy,
2024, pp. 6–14.'
conference:
end_date: 2024-09-13
location: Trento, Italy
name: The 28th Workshop on the Semantics and Pragmatics of Dialogue
start_date: 2024-09-11
date_created: 2024-08-30T07:43:04Z
date_updated: 2025-09-11T10:17:32Z
department:
- _id: '660'
extern: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.semdial.org/anthology/papers/Z/Z24/Z24-3001/
oa: '1'
page: 6-14
place: Trento, Italy
project:
- _id: '112'
name: 'TRR 318 - A02: TRR 318 - Verstehensprozess einer Erklärung beobachten und
auswerten (Teilprojekt A02)'
publication: Proceedings of the 28th Workshop on the Semantics and Pragmatics of Dialogue
publication_identifier:
issn:
- 2308-2275
publication_status: published
quality_controlled: '1'
status: public
title: Turn-taking dynamics across different phases of explanatory dialogues
type: conference
user_id: '76456'
year: '2024'
...
---
_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: Lecture Notes in Computer Science. Springer Nature Switzerland; 2024.
doi:10.1007/978-3-031-77844-5_12'
apa: 'Becker, A., Sherif, M., & Ngonga Ngomo, A.-C. (2024). Blink: Blank Node
Matching Using Embeddings. In Lecture Notes in Computer Science. ISWC 2024: :
The 23ed International Semantic Web Conference, Baltimore, USA. Springer Nature
Switzerland. https://doi.org/10.1007/978-3-031-77844-5_12'
bibtex: '@inbook{Becker_Sherif_Ngonga Ngomo_2024, place={Cham}, title={Blink: Blank
Node Matching Using Embeddings}, DOI={10.1007/978-3-031-77844-5_12},
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 Lecture Notes in Computer Science.
Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-77844-5_12.'
ieee: 'A. Becker, M. Sherif, and A.-C. Ngonga Ngomo, “Blink: Blank Node Matching
Using Embeddings,” in Lecture Notes in Computer Science, Cham: Springer
Nature Switzerland, 2024.'
mla: 'Becker, Alexander, et al. “Blink: Blank Node Matching Using Embeddings.” Lecture
Notes in Computer Science, Springer Nature Switzerland, 2024, doi:10.1007/978-3-031-77844-5_12.'
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: ESWC. ;
2024.'
apa: Karalis, N., Bigerl, A., Heidrich, L., Sherif, M., & Ngonga Ngomo, A.-C.
(2024). Efficient Evaluation of Conjunctive Regular Path Queries Using Multi-way
Joins. ESWC.
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 ESWC, 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.” ESWC, 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. 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. Vol 3759. CEUR Workshop Proceedings.
CEUR-WS.org; 2024.'
apa: 'Kumar, A., Naumann, M., Henne, K., & 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, & 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 (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 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, 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 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, Amsterdam,The
Netherlands, 2024, vol. 3759.'
mla: 'Kumar, Ajay, et al. “PCFWebUI: Data-Driven WebUI for Holistic Decarbonization
Based on PCF-Tracking.” 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, 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. Lehrkräftebildung
in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven
. Vol 1. 1st ed. Waxmann; 2024. doi:10.31244/9783830998372
apa: Herzig, B., Eickelmann, B., Schwabl, F., Schulze, J., & Niemann, J. (Eds.).
(2024). Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs-
und Praxisperspektiven (1st ed., Vol. 1). Waxmann. https://doi.org/10.31244/9783830998372
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={10.31244/9783830998372},
publisher={Waxmann}, year={2024}, collection={Paderborner Beiträge zur Bildungsforschung
und Lehrkräftebildung} }'
chicago: 'Herzig, Bardo, Birgit Eickelmann, Franziska Schwabl, Johanna Schulze,
and Jan Niemann, eds. Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte
Forschungs- und Praxisperspektiven . 1st ed. Vol. 1. Paderborner Beiträge
zur Bildungsforschung und Lehrkräftebildung. Münster: Waxmann, 2024. https://doi.org/10.31244/9783830998372.'
ieee: 'B. Herzig, B. Eickelmann, F. Schwabl, J. Schulze, and J. Niemann, Eds., Lehrkräftebildung
in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven
, 1st ed., vol. 1. Münster: Waxmann, 2024.'
mla: Herzig, Bardo, et al., editors. Lehrkräftebildung in der digitalen Welt.
Zukunftsorientierte Forschungs- und Praxisperspektiven . 1st ed., vol. 1,
Waxmann, 2024, doi:10.31244/9783830998372.
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. Lehrkräftebildung
in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven.
Vol 1. 1st ed. Waxmann; 2024.
apa: Herzig, B., Eickelmann, B., Schwabl, F., Schulze, J., & Niemann, J. (Eds.).
(2024). Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte Forschungs-
und Praxisperspektiven (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. Lehrkräftebildung in der digitalen Welt. Zukunftsorientierte
Forschungs- und Praxisperspektiven. 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., Lehrkräftebildung
in der digitalen Welt. Zukunftsorientierte Forschungs- und Praxisperspektiven,
1st ed., vol. 1. Münster: Waxmann, 2024.'
mla: Herzig, Bardo, et al., editors. Lehrkräftebildung in der digitalen Welt.
Zukunftsorientierte Forschungs- und Praxisperspektiven. 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: SEMANTiCS.
; 2024.'
apa: Zahera, H. M. A., Manzoor, A., Sherif, M., Moussallem, D., & Ngonga Ngomo,
A.-C. (2024). Generating SPARQL from Natural Language Using Chain-of-Thoughts
Prompting. SEMANTiCS.
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 SEMANTiCS. 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.” SEMANTiCS, 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.
Discourse & Communication. 2024;18(6):917-930. doi:10.1177/17504813241267069
apa: Klowait, N., Erofeeva, M., Lenke, M., Horwath, I., & Buschmeier, H. (2024).
Can AI explain AI? Interactive co-construction of explanations among human and
artificial agents. Discourse & Communication, 18(6), 917–930.
https://doi.org/10.1177/17504813241267069
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={10.1177/17504813241267069},
number={6}, journal={Discourse & 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.” Discourse & Communication 18, no. 6 (2024):
917–30. https://doi.org/10.1177/17504813241267069.'
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,” Discourse & Communication, vol. 18, no. 6, pp. 917–930, 2024,
doi: 10.1177/17504813241267069.'
mla: Klowait, Nils, et al. “Can AI Explain AI? Interactive Co-Construction of Explanations
among Human and Artificial Agents.” Discourse & Communication, vol.
18, no. 6, Sage, 2024, pp. 917–30, doi:10.1177/17504813241267069.
short: N. Klowait, M. Erofeeva, M. Lenke, I. Horwath, H. Buschmeier, Discourse &
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: 2024 International Joint
Conference on Neural Networks (IJCNN). ; 2024:1-8. doi:10.1109/IJCNN60899.2024.10650124'
apa: 'Kenneweg, P., Kenneweg, T., Fumagalli, F., & Hammer, B. (2024). No learning
rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation. 2024
International Joint Conference on Neural Networks (IJCNN), 1–8. https://doi.org/10.1109/IJCNN60899.2024.10650124'
bibtex: '@inproceedings{Kenneweg_Kenneweg_Fumagalli_Hammer_2024, title={No learning
rates needed: Introducing SALSA - Stable Armijo Line Search Adaptation}, DOI={10.1109/IJCNN60899.2024.10650124},
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 2024 International Joint Conference on Neural Networks (IJCNN), 1–8,
2024. https://doi.org/10.1109/IJCNN60899.2024.10650124.'
ieee: 'P. Kenneweg, T. Kenneweg, F. Fumagalli, and B. Hammer, “No learning rates
needed: Introducing SALSA - Stable Armijo Line Search Adaptation,” in 2024
International Joint Conference on Neural Networks (IJCNN), 2024, pp. 1–8,
doi: 10.1109/IJCNN60899.2024.10650124.'
mla: 'Kenneweg, Philip, et al. “No Learning Rates Needed: Introducing SALSA - Stable
Armijo Line Search Adaptation.” 2024 International Joint Conference on Neural
Networks (IJCNN), 2024, pp. 1–8, doi:10.1109/IJCNN60899.2024.10650124.'
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: Proceedings
of the AAAI Conference on Artificial Intelligence (AAAI). Vol 38. ; 2024:14388-14396.
doi:10.1609/aaai.v38i13.29352'
apa: 'Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier, E. (2024). Beyond
TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 38(13),
14388–14396. https://doi.org/10.1609/aaai.v38i13.29352'
bibtex: '@inproceedings{Muschalik_Fumagalli_Hammer_Huellermeier_2024, title={Beyond
TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles},
volume={38}, DOI={10.1609/aaai.v38i13.29352},
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 Proceedings of the AAAI Conference on Artificial Intelligence
(AAAI), 38:14388–96, 2024. https://doi.org/10.1609/aaai.v38i13.29352.'
ieee: 'M. Muschalik, F. Fumagalli, B. Hammer, and E. Huellermeier, “Beyond TreeSHAP:
Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles,” in
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2024,
vol. 38, no. 13, pp. 14388–14396, doi: 10.1609/aaai.v38i13.29352.'
mla: 'Muschalik, Maximilian, et al. “Beyond TreeSHAP: Efficient Computation of Any-Order
Shapley Interactions for Tree Ensembles.” Proceedings of the AAAI Conference
on Artificial Intelligence (AAAI), vol. 38, no. 13, 2024, pp. 14388–96, doi:10.1609/aaai.v38i13.29352.'
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: Proceedings of The 27th International Conference on Artificial Intelligence
and Statistics (AISTATS). Vol 238. Proceedings of Machine Learning Research.
PMLR; 2024:3520–3528.'
apa: 'Kolpaczki, P., Muschalik, M., Fumagalli, F., Hammer, B., & Huellermeier,
E. (2024). SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions
through Stratification. Proceedings of The 27th International Conference on
Artificial Intelligence and Statistics (AISTATS), 238, 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 Proceedings of The 27th International
Conference on Artificial Intelligence and Statistics (AISTATS), 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 Proceedings of The 27th International Conference on Artificial Intelligence
and Statistics (AISTATS), 2024, vol. 238, pp. 3520–3528.'
mla: 'Kolpaczki, Patrick, et al. “SVARM-IQ: Efficient Approximation of Any-Order
Shapley Interactions through Stratification.” Proceedings of The 27th International
Conference on Artificial Intelligence and Statistics (AISTATS), 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: Proceedings
of the 41st International Conference on Machine Learning (ICML). Vol 235.
Proceedings of Machine Learning Research. PMLR; 2024:14308–14342.'
apa: 'Fumagalli, F., Muschalik, M., Kolpaczki, P., Hüllermeier, E., & Hammer,
B. (2024). KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.
Proceedings of the 41st International Conference on Machine Learning (ICML),
235, 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 Proceedings of the 41st International Conference on Machine
Learning (ICML), 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 Proceedings of the 41st International Conference on Machine Learning (ICML),
2024, vol. 235, pp. 14308–14342.'
mla: 'Fumagalli, Fabian, et al. “KernelSHAP-IQ: Weighted Least Square Optimization
for Shapley Interactions.” Proceedings of the 41st International Conference
on Machine Learning (ICML), 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: Advances in Neural
Information Processing Systems (NeurIPS). Vol 37. ; 2024:130324–130357.'
apa: 'Muschalik, M., Baniecki, H., Fumagalli, F., Kolpaczki, P., Hammer, B., &
Huellermeier, E. (2024). shapiq: Shapley interactions for machine learning. Advances
in Neural Information Processing Systems (NeurIPS), 37, 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 Advances in Neural Information Processing Systems (NeurIPS),
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 Advances
in Neural Information Processing Systems (NeurIPS), 2024, vol. 37, pp. 130324–130357.'
mla: 'Muschalik, Maximilian, et al. “Shapiq: Shapley Interactions for Machine Learning.”
Advances in Neural Information Processing Systems (NeurIPS), 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: Proceedings of the AAAI Conference
on Artificial Intelligence (AAAI). Vol 38. ; 2024:13246–13255.'
apa: Kolpaczki, P., Bengs, V., Muschalik, M., & Hüllermeier, E. (2024). Approximating
the shapley value without marginal contributions. Proceedings of the AAAI Conference
on Artificial Intelligence (AAAI), 38(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 Proceedings
of the AAAI Conference on Artificial Intelligence (AAAI), 38:13246–13255,
2024.
ieee: P. Kolpaczki, V. Bengs, M. Muschalik, and E. Hüllermeier, “Approximating the
shapley value without marginal contributions,” in Proceedings of the AAAI conference
on Artificial Intelligence (AAAI), 2024, vol. 38, no. 12, pp. 13246–13255.
mla: Kolpaczki, Patrick, et al. “Approximating the Shapley Value without Marginal
Contributions.” Proceedings of the AAAI Conference on Artificial Intelligence
(AAAI), 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: ICMI
Companion ’24: Companion Proceedings of the 26th International Conference on Multimodal
Interaction. ACM; 2024:225–227. doi:10.1145/3686215.3689203'
apa: 'Belosevic, M., & Buschmeier, H. (2024). Quote to explain: Using multimodal
metalinguistic markers to explain large language models’ understanding capabilities.
ICMI Companion ’24: Companion Proceedings of the 26th International Conference
on Multimodal Interaction, 225–227. https://doi.org/10.1145/3686215.3689203'
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={10.1145/3686215.3689203},
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 ICMI Companion ’24: Companion Proceedings of the 26th International Conference
on Multimodal Interaction, 225–227. San José, Costa Rica: ACM, 2024. https://doi.org/10.1145/3686215.3689203.'
ieee: 'M. Belosevic and H. Buschmeier, “Quote to explain: Using multimodal metalinguistic
markers to explain large language models’ understanding capabilities,” in ICMI
Companion ’24: Companion Proceedings of the 26th International Conference on Multimodal
Interaction, San José, Costa Rica, 2024, pp. 225–227, doi: 10.1145/3686215.3689203.'
mla: 'Belosevic, Milena, and Hendrik Buschmeier. “Quote to Explain: Using Multimodal
Metalinguistic Markers to Explain Large Language Models’ Understanding Capabilities.”
ICMI Companion ’24: Companion Proceedings of the 26th International Conference
on Multimodal Interaction, ACM, 2024, pp. 225–227, doi:10.1145/3686215.3689203.'
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: Proceedings of the 20th Conference on Natural
Language Processing (KONVENS 2024). ; 2024:75–80.'
apa: Wang, Y., & Buschmeier, H. (2024). Revisiting the phenomenon of syntactic
complexity convergence on German dialogue data. Proceedings of the 20th Conference
on Natural Language Processing (KONVENS 2024), 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 Proceedings of the 20th
Conference on Natural Language Processing (KONVENS 2024), 75–80. Vienna, Austria,
2024.
ieee: Y. Wang and H. Buschmeier, “Revisiting the phenomenon of syntactic complexity
convergence on German dialogue data,” in Proceedings of the 20th Conference
on Natural Language Processing (KONVENS 2024), Vienna, Austria, 2024, pp.
75–80.
mla: Wang, Yu, and Hendrik Buschmeier. “Revisiting the Phenomenon of Syntactic Complexity
Convergence on German Dialogue Data.” Proceedings of the 20th Conference on
Natural Language Processing (KONVENS 2024), 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'
...