[{"doi":"10.1145/3731443.3771374","title":"NL2LS: LLM-based Automatic Linking of Knowledge Graphs","date_created":"2025-12-10T17:19:20Z","author":[{"full_name":"Ihtassine, Reda","id":"103911","last_name":"Ihtassine","first_name":"Reda"},{"last_name":"Firmansyah","full_name":"Firmansyah, Asep Fajar","id":"76787","first_name":"Asep Fajar"},{"id":"70066","full_name":"Srivastava, Nikit","orcid":"0009-0004-5164-4911","last_name":"Srivastava","first_name":"Nikit"},{"first_name":"Ali","id":"77309","full_name":"Manzoor, Ali","last_name":"Manzoor","orcid":"https://orcid.org/0000-0001-8403-5160"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"},{"full_name":"Sherif, Mohamed Ahmed","last_name":"Sherif","first_name":"Mohamed Ahmed"}],"date_updated":"2026-03-09T12:42:07Z","publisher":"ACM","citation":{"apa":"Ihtassine, R., Firmansyah, A. F., Srivastava, N., Manzoor, A., Ngonga Ngomo, A.-C., &#38; Sherif, M. A. (2025). NL2LS: LLM-based Automatic Linking of Knowledge Graphs. <i>Proceedings of the Knowledge Capture Conference 2025</i>. <a href=\"https://doi.org/10.1145/3731443.3771374\">https://doi.org/10.1145/3731443.3771374</a>","short":"R. Ihtassine, A.F. Firmansyah, N. Srivastava, A. Manzoor, A.-C. Ngonga Ngomo, M.A. Sherif, in: Proceedings of the Knowledge Capture Conference 2025, ACM, 2025.","bibtex":"@inproceedings{Ihtassine_Firmansyah_Srivastava_Manzoor_Ngonga Ngomo_Sherif_2025, title={NL2LS: LLM-based Automatic Linking of Knowledge Graphs}, DOI={<a href=\"https://doi.org/10.1145/3731443.3771374\">10.1145/3731443.3771374</a>}, booktitle={Proceedings of the Knowledge Capture Conference 2025}, publisher={ACM}, author={Ihtassine, Reda and Firmansyah, Asep Fajar and Srivastava, Nikit and Manzoor, Ali and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed Ahmed}, year={2025} }","mla":"Ihtassine, Reda, et al. “NL2LS: LLM-Based Automatic Linking of Knowledge Graphs.” <i>Proceedings of the Knowledge Capture Conference 2025</i>, ACM, 2025, doi:<a href=\"https://doi.org/10.1145/3731443.3771374\">10.1145/3731443.3771374</a>.","ieee":"R. Ihtassine, A. F. Firmansyah, N. Srivastava, A. Manzoor, A.-C. Ngonga Ngomo, and M. A. Sherif, “NL2LS: LLM-based Automatic Linking of Knowledge Graphs,” 2025, doi: <a href=\"https://doi.org/10.1145/3731443.3771374\">10.1145/3731443.3771374</a>.","chicago":"Ihtassine, Reda, Asep Fajar Firmansyah, Nikit Srivastava, Ali Manzoor, Axel-Cyrille Ngonga Ngomo, and Mohamed Ahmed Sherif. “NL2LS: LLM-Based Automatic Linking of Knowledge Graphs.” In <i>Proceedings of the Knowledge Capture Conference 2025</i>. ACM, 2025. <a href=\"https://doi.org/10.1145/3731443.3771374\">https://doi.org/10.1145/3731443.3771374</a>.","ama":"Ihtassine R, Firmansyah AF, Srivastava N, Manzoor A, Ngonga Ngomo A-C, Sherif MA. NL2LS: LLM-based Automatic Linking of Knowledge Graphs. In: <i>Proceedings of the Knowledge Capture Conference 2025</i>. ACM; 2025. doi:<a href=\"https://doi.org/10.1145/3731443.3771374\">10.1145/3731443.3771374</a>"},"year":"2025","publication_status":"published","language":[{"iso":"eng"}],"user_id":"77309","_id":"63027","status":"public","type":"conference","publication":"Proceedings of the Knowledge Capture Conference 2025"},{"type":"conference","publication":"Knowledge Engineering and Knowledge Management","status":"public","editor":[{"last_name":"Alam","full_name":"Alam, Mehwish","first_name":"Mehwish"},{"first_name":"Marco","last_name":"Rospocher","full_name":"Rospocher, Marco"},{"first_name":"Marieke","full_name":"van Erp, Marieke","last_name":"van Erp"},{"first_name":"Laura","full_name":"Hollink, Laura","last_name":"Hollink"},{"first_name":"Genet Asefa","last_name":"Gesese","full_name":"Gesese, Genet Asefa"}],"abstract":[{"lang":"eng","text":"Generating SPARQL queries is crucial for extracting relevant information from diverse knowledge graphs. However, the structural and semantic differences among these graphs necessitate training or fine-tuning a tailored model for each one. In this paper, we propose UniQ-Gen, a unified query generation approach to generate SPARQL queries across various knowledge graphs. UniQ-Gen integrates entity recognition, disambiguation, and linking through a BERT-NER model and employs cross-encoder ranking to align questions with the Freebase ontology. We conducted several experiments on different benchmark datasets such as LC-QuAD 2.0, GrailQA, and QALD-10. The evaluation results demonstrate that our approach achieves performance equivalent to or better than models fine-tuned for individual knowledge graphs. This finding suggests that fine-tuning a unified model on a heterogeneous dataset of SPARQL queries across different knowledge graphs eliminates the need for separate models for each graph, thereby reducing resource requirements."}],"user_id":"70066","_id":"57324","language":[{"iso":"eng"}],"publication_identifier":{"isbn":["978-3-031-77792-9"]},"citation":{"mla":"Vollmers, Daniel, et al. “UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs.” <i>Knowledge Engineering and Knowledge Management</i>, edited by Mehwish Alam et al., Springer Nature Switzerland, 2025, pp. 174–189, doi:<a href=\"https://doi.org/10.1007/978-3-031-77792-9_11\">https://doi.org/10.1007/978-3-031-77792-9_11</a>.","short":"D. Vollmers, N. Srivastava, H.M.A. Zahera, D. Moussallem, A.-C. Ngonga Ngomo, in: M. Alam, M. Rospocher, M. van Erp, L. Hollink, G.A. Gesese (Eds.), Knowledge Engineering and Knowledge Management, Springer Nature Switzerland, Cham, 2025, pp. 174–189.","bibtex":"@inproceedings{Vollmers_Srivastava_Zahera_Moussallem_Ngonga Ngomo_2025, place={Cham}, title={UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs}, DOI={<a href=\"https://doi.org/10.1007/978-3-031-77792-9_11\">https://doi.org/10.1007/978-3-031-77792-9_11</a>}, booktitle={Knowledge Engineering and Knowledge Management}, publisher={Springer Nature Switzerland}, author={Vollmers, Daniel and Srivastava, Nikit and Zahera, Hamada Mohamed Abdelsamee and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, editor={Alam, Mehwish and Rospocher, Marco and van Erp, Marieke and Hollink, Laura and Gesese, Genet Asefa}, year={2025}, pages={174–189} }","apa":"Vollmers, D., Srivastava, N., Zahera, H. M. A., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2025). UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs. In M. Alam, M. Rospocher, M. van Erp, L. Hollink, &#38; G. A. Gesese (Eds.), <i>Knowledge Engineering and Knowledge Management</i> (pp. 174–189). Springer Nature Switzerland. <a href=\"https://doi.org/10.1007/978-3-031-77792-9_11\">https://doi.org/10.1007/978-3-031-77792-9_11</a>","ama":"Vollmers D, Srivastava N, Zahera HMA, Moussallem D, Ngonga Ngomo A-C. UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs. In: Alam M, Rospocher M, van Erp M, Hollink L, Gesese GA, eds. <i>Knowledge Engineering and Knowledge Management</i>. Springer Nature Switzerland; 2025:174–189. doi:<a href=\"https://doi.org/10.1007/978-3-031-77792-9_11\">https://doi.org/10.1007/978-3-031-77792-9_11</a>","ieee":"D. Vollmers, N. Srivastava, H. M. A. Zahera, D. Moussallem, and A.-C. Ngonga Ngomo, “UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs,” in <i>Knowledge Engineering and Knowledge Management</i>, 2025, pp. 174–189, doi: <a href=\"https://doi.org/10.1007/978-3-031-77792-9_11\">https://doi.org/10.1007/978-3-031-77792-9_11</a>.","chicago":"Vollmers, Daniel, Nikit Srivastava, Hamada Mohamed Abdelsamee Zahera, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs.” In <i>Knowledge Engineering and Knowledge Management</i>, edited by Mehwish Alam, Marco Rospocher, Marieke van Erp, Laura Hollink, and Genet Asefa Gesese, 174–189. Cham: Springer Nature Switzerland, 2025. <a href=\"https://doi.org/10.1007/978-3-031-77792-9_11\">https://doi.org/10.1007/978-3-031-77792-9_11</a>."},"page":"174–189","place":"Cham","year":"2025","author":[{"full_name":"Vollmers, Daniel","last_name":"Vollmers","first_name":"Daniel"},{"full_name":"Srivastava, Nikit","id":"70066","last_name":"Srivastava","orcid":"0009-0004-5164-4911","first_name":"Nikit"},{"first_name":"Hamada Mohamed Abdelsamee","full_name":"Zahera, Hamada Mohamed Abdelsamee","id":"72768","last_name":"Zahera","orcid":"0000-0003-0215-1278"},{"id":"71635","full_name":"Moussallem, Diego","last_name":"Moussallem","first_name":"Diego"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","first_name":"Axel-Cyrille"}],"date_created":"2024-11-22T12:56:54Z","date_updated":"2024-11-22T12:58:59Z","publisher":"Springer Nature Switzerland","doi":"https://doi.org/10.1007/978-3-031-77792-9_11","title":"UniQ-Gen: Unified Query Generation Across Multiple Knowledge Graphs"},{"title":"NL2LS: LLM-based Automatic Linking of Knowledge Graphs","date_updated":"2025-11-06T15:19:28Z","publisher":"ACM","date_created":"2025-11-06T15:13:39Z","author":[{"id":"103911","full_name":"Ihtassine, Reda","last_name":"Ihtassine","first_name":"Reda"},{"id":"76787","full_name":"Firmansyah, Asep Fajar","last_name":"Firmansyah","first_name":"Asep Fajar"},{"first_name":"Nikit","last_name":"Srivastava","orcid":"0009-0004-5164-4911","id":"70066","full_name":"Srivastava, Nikit"},{"full_name":"Ali, Manzoor","last_name":"Ali","first_name":"Manzoor"},{"full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","last_name":"Ngonga Ngomo","first_name":"Axel-Cyrille"},{"orcid":"https://orcid.org/0000-0002-9927-2203","last_name":"Sherif","id":"67234","full_name":"Sherif, Mohamed","first_name":"Mohamed"}],"year":"2025","citation":{"ieee":"R. Ihtassine, A. F. Firmansyah, N. Srivastava, M. Ali, A.-C. Ngonga Ngomo, and M. Sherif, “NL2LS: LLM-based Automatic Linking of Knowledge Graphs,” 2025.","chicago":"Ihtassine, Reda, Asep Fajar Firmansyah, Nikit Srivastava, Manzoor Ali, Axel-Cyrille Ngonga Ngomo, and Mohamed Sherif. “NL2LS: LLM-Based Automatic Linking of Knowledge Graphs.” In <i>Proceedings of the 12th Knowledge Capture Conference 2025, {K-CAP} 2025, The Thirteenth International Conference on Knowledge Capture, December 10 - 12, 2025, Dayton, Ohio, USA</i>. ACM, 2025.","ama":"Ihtassine R, Firmansyah AF, Srivastava N, Ali M, Ngonga Ngomo A-C, Sherif M. NL2LS: LLM-based Automatic Linking of Knowledge Graphs. In: <i>Proceedings of the 12th Knowledge Capture Conference 2025, {K-CAP} 2025, The Thirteenth International Conference on Knowledge Capture, December 10 - 12, 2025, Dayton, Ohio, USA</i>. ACM; 2025.","bibtex":"@inproceedings{Ihtassine_Firmansyah_Srivastava_Ali_Ngonga Ngomo_Sherif_2025, title={NL2LS: LLM-based Automatic Linking of Knowledge Graphs}, booktitle={Proceedings of the 12th Knowledge Capture Conference 2025, {K-CAP} 2025, The Thirteenth International Conference on Knowledge Capture, December 10 - 12, 2025, Dayton, Ohio, USA}, publisher={ACM}, author={Ihtassine, Reda and Firmansyah, Asep Fajar and Srivastava, Nikit and Ali, Manzoor and Ngonga Ngomo, Axel-Cyrille and Sherif, Mohamed}, year={2025} }","mla":"Ihtassine, Reda, et al. “NL2LS: LLM-Based Automatic Linking of Knowledge Graphs.” <i>Proceedings of the 12th Knowledge Capture Conference 2025, {K-CAP} 2025, The Thirteenth International Conference on Knowledge Capture, December 10 - 12, 2025, Dayton, Ohio, USA</i>, ACM, 2025.","short":"R. Ihtassine, A.F. Firmansyah, N. Srivastava, M. Ali, A.-C. Ngonga Ngomo, M. Sherif, in: Proceedings of the 12th Knowledge Capture Conference 2025, {K-CAP} 2025, The Thirteenth International Conference on Knowledge Capture, December 10 - 12, 2025, Dayton, Ohio, USA, ACM, 2025.","apa":"Ihtassine, R., Firmansyah, A. F., Srivastava, N., Ali, M., Ngonga Ngomo, A.-C., &#38; Sherif, M. (2025). NL2LS: LLM-based Automatic Linking of Knowledge Graphs. <i>Proceedings of the 12th Knowledge Capture Conference 2025, {K-CAP} 2025, The Thirteenth International Conference on Knowledge Capture, December 10 - 12, 2025, Dayton, Ohio, USA</i>."},"keyword":["Srivastava ali dice enexa firmansyah ihtassine ngonga sailproject sherif whale"],"language":[{"iso":"eng"}],"_id":"62119","department":[{"_id":"574"}],"user_id":"76787","status":"public","publication":"Proceedings of the 12th Knowledge Capture Conference 2025, {K-CAP} 2025, The Thirteenth International Conference on Knowledge Capture, December 10 - 12, 2025, Dayton, Ohio, USA","type":"conference"},{"user_id":"70066","_id":"61753","language":[{"iso":"eng"}],"type":"conference","publication":"Proceedings of the 31st International Conference on Computational Linguistics","status":"public","editor":[{"first_name":"Owen","last_name":"Rambow","full_name":"Rambow, Owen"},{"last_name":"Wanner","full_name":"Wanner, Leo","first_name":"Leo"},{"first_name":"Marianna","last_name":"Apidianaki","full_name":"Apidianaki, Marianna"},{"first_name":"Hend","last_name":"Al-Khalifa","full_name":"Al-Khalifa, Hend"},{"full_name":"Eugenio, Barbara Di","last_name":"Eugenio","first_name":"Barbara Di"},{"first_name":"Steven","full_name":"Schockaert, Steven","last_name":"Schockaert"}],"abstract":[{"lang":"eng","text":"This paper presents LOLA, a massively multilingual large language model trained on more than 160 languages using a sparse Mixture-of-Experts Transformer architecture. Our architectural and implementation choices address the challenge of harnessing linguistic diversity while maintaining efficiency and avoiding the common pitfalls of multilinguality. Our analysis of the evaluation results shows competitive performance in natural language generation and understanding tasks. Additionally, we demonstrate how the learned expert-routing mechanism exploits implicit phylogenetic linguistic patterns to potentially alleviate the curse of multilinguality. We provide an in-depth look at the training process, an analysis of the datasets, and a balanced exploration of the model{’}s strengths and limitations. As an open-source model, LOLA promotes reproducibility and serves as a robust foundation for future research. Our findings enable the development of compute-efficient multilingual models with strong, scalable performance across languages."}],"author":[{"orcid":"0009-0004-5164-4911","last_name":"Srivastava","full_name":"Srivastava, Nikit","id":"70066","first_name":"Nikit"},{"first_name":"Denis","id":"70842","full_name":"Kuchelev, Denis","last_name":"Kuchelev"},{"first_name":"Tatiana","full_name":"Moteu Ngoli, Tatiana","id":"99174","last_name":"Moteu Ngoli"},{"last_name":"Shetty","full_name":"Shetty, Kshitij","first_name":"Kshitij"},{"last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277","full_name":"Röder, Michael","id":"67199","first_name":"Michael"},{"first_name":"Hamada Mohamed Abdelsamee","orcid":"0000-0003-0215-1278","last_name":"Zahera","full_name":"Zahera, Hamada Mohamed Abdelsamee","id":"72768"},{"first_name":"Diego","full_name":"Moussallem, Diego","id":"71635","last_name":"Moussallem"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","first_name":"Axel-Cyrille"}],"date_created":"2025-10-08T11:02:30Z","publisher":"Association for Computational Linguistics","date_updated":"2026-01-06T10:11:37Z","oa":"1","main_file_link":[{"open_access":"1","url":"https://aclanthology.org/2025.coling-main.428.pdf"}],"title":"LOLA – An Open-Source Massively Multilingual Large Language Model","citation":{"apa":"Srivastava, N., Kuchelev, D., Moteu Ngoli, T., Shetty, K., Röder, M., Zahera, H. M. A., Moussallem, D., &#38; Ngonga Ngomo, A.-C. (2025). LOLA – An Open-Source Massively Multilingual Large Language Model. In O. Rambow, L. Wanner, M. Apidianaki, H. Al-Khalifa, B. D. Eugenio, &#38; S. Schockaert (Eds.), <i>Proceedings of the 31st International Conference on Computational Linguistics</i> (pp. 6420–6446). Association for Computational Linguistics.","bibtex":"@inproceedings{Srivastava_Kuchelev_Moteu Ngoli_Shetty_Röder_Zahera_Moussallem_Ngonga Ngomo_2025, place={Abu Dhabi, UAE}, title={LOLA – An Open-Source Massively Multilingual Large Language Model}, booktitle={Proceedings of the 31st International Conference on Computational Linguistics}, publisher={Association for Computational Linguistics}, author={Srivastava, Nikit and Kuchelev, Denis and Moteu Ngoli, Tatiana and Shetty, Kshitij and Röder, Michael and Zahera, Hamada Mohamed Abdelsamee and Moussallem, Diego and Ngonga Ngomo, Axel-Cyrille}, editor={Rambow, Owen and Wanner, Leo and Apidianaki, Marianna and Al-Khalifa, Hend and Eugenio, Barbara Di and Schockaert, Steven}, year={2025}, pages={6420–6446} }","mla":"Srivastava, Nikit, et al. “LOLA – An Open-Source Massively Multilingual Large Language Model.” <i>Proceedings of the 31st International Conference on Computational Linguistics</i>, edited by Owen Rambow et al., Association for Computational Linguistics, 2025, pp. 6420–6446.","short":"N. Srivastava, D. Kuchelev, T. Moteu Ngoli, K. Shetty, M. Röder, H.M.A. Zahera, D. Moussallem, A.-C. Ngonga Ngomo, in: O. Rambow, L. Wanner, M. Apidianaki, H. Al-Khalifa, B.D. Eugenio, S. Schockaert (Eds.), Proceedings of the 31st International Conference on Computational Linguistics, Association for Computational Linguistics, Abu Dhabi, UAE, 2025, pp. 6420–6446.","ama":"Srivastava N, Kuchelev D, Moteu Ngoli T, et al. LOLA – An Open-Source Massively Multilingual Large Language Model. In: Rambow O, Wanner L, Apidianaki M, Al-Khalifa H, Eugenio BD, Schockaert S, eds. <i>Proceedings of the 31st International Conference on Computational Linguistics</i>. Association for Computational Linguistics; 2025:6420–6446.","chicago":"Srivastava, Nikit, Denis Kuchelev, Tatiana Moteu Ngoli, Kshitij Shetty, Michael Röder, Hamada Mohamed Abdelsamee Zahera, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “LOLA – An Open-Source Massively Multilingual Large Language Model.” In <i>Proceedings of the 31st International Conference on Computational Linguistics</i>, edited by Owen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara Di Eugenio, and Steven Schockaert, 6420–6446. Abu Dhabi, UAE: Association for Computational Linguistics, 2025.","ieee":"N. Srivastava <i>et al.</i>, “LOLA – An Open-Source Massively Multilingual Large Language Model,” in <i>Proceedings of the 31st International Conference on Computational Linguistics</i>, 2025, pp. 6420–6446."},"page":"6420–6446","place":"Abu Dhabi, UAE","year":"2025"},{"publication":"Proceedings of the Knowledge Capture Conference 2025","type":"conference","status":"public","department":[{"_id":"574"},{"_id":"923"}],"user_id":"67199","_id":"63574","language":[{"iso":"eng"}],"publication_status":"published","citation":{"bibtex":"@inproceedings{Zhang_Röder_Srivastava_KOUAGOU_Ngonga Ngomo_2025, title={Explainable Benchmarking through the Lense of Concept Learning}, DOI={<a href=\"https://doi.org/10.1145/3731443.3771359\">10.1145/3731443.3771359</a>}, booktitle={Proceedings of the Knowledge Capture Conference 2025}, publisher={ACM}, author={Zhang, Quannian and Röder, Michael and Srivastava, Nikit and KOUAGOU, N’Dah Jean and Ngonga Ngomo, Axel-Cyrille}, year={2025} }","mla":"Zhang, Quannian, et al. “Explainable Benchmarking through the Lense of Concept Learning.” <i>Proceedings of the Knowledge Capture Conference 2025</i>, ACM, 2025, doi:<a href=\"https://doi.org/10.1145/3731443.3771359\">10.1145/3731443.3771359</a>.","short":"Q. Zhang, M. Röder, N. Srivastava, N.J. KOUAGOU, A.-C. Ngonga Ngomo, in: Proceedings of the Knowledge Capture Conference 2025, ACM, 2025.","apa":"Zhang, Q., Röder, M., Srivastava, N., KOUAGOU, N. J., &#38; Ngonga Ngomo, A.-C. (2025). Explainable Benchmarking through the Lense of Concept Learning. <i>Proceedings of the Knowledge Capture Conference 2025</i>. <a href=\"https://doi.org/10.1145/3731443.3771359\">https://doi.org/10.1145/3731443.3771359</a>","ieee":"Q. Zhang, M. Röder, N. Srivastava, N. J. KOUAGOU, and A.-C. Ngonga Ngomo, “Explainable Benchmarking through the Lense of Concept Learning,” 2025, doi: <a href=\"https://doi.org/10.1145/3731443.3771359\">10.1145/3731443.3771359</a>.","chicago":"Zhang, Quannian, Michael Röder, Nikit Srivastava, N’Dah Jean KOUAGOU, and Axel-Cyrille Ngonga Ngomo. “Explainable Benchmarking through the Lense of Concept Learning.” In <i>Proceedings of the Knowledge Capture Conference 2025</i>. ACM, 2025. <a href=\"https://doi.org/10.1145/3731443.3771359\">https://doi.org/10.1145/3731443.3771359</a>.","ama":"Zhang Q, Röder M, Srivastava N, KOUAGOU NJ, Ngonga Ngomo A-C. Explainable Benchmarking through the Lense of Concept Learning. In: <i>Proceedings of the Knowledge Capture Conference 2025</i>. ACM; 2025. doi:<a href=\"https://doi.org/10.1145/3731443.3771359\">10.1145/3731443.3771359</a>"},"year":"2025","date_created":"2026-01-12T17:21:05Z","author":[{"orcid":"0009-0008-9497-3204","last_name":"Zhang","id":"104099","full_name":"Zhang, Quannian","first_name":"Quannian"},{"first_name":"Michael","id":"67199","full_name":"Röder, Michael","last_name":"Röder","orcid":"https://orcid.org/0000-0002-8609-8277"},{"full_name":"Srivastava, Nikit","id":"70066","last_name":"Srivastava","orcid":"0009-0004-5164-4911","first_name":"Nikit"},{"first_name":"N'Dah Jean","full_name":"KOUAGOU, N'Dah Jean","id":"87189","last_name":"KOUAGOU"},{"last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716","first_name":"Axel-Cyrille"}],"date_updated":"2026-01-12T17:25:00Z","publisher":"ACM","doi":"10.1145/3731443.3771359","title":"Explainable Benchmarking through the Lense of Concept Learning"},{"type":"preprint","year":"2024","status":"public","citation":{"short":"N. Srivastava, M. 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