Chevaleyre, Y., Endriss, U., Maudet, N. (2010) Restricted Classes of Utility Functions for Simple Negotiation Schemes: Sufficiency, Necessity and Maximality.

In Paschos, V.T. (Eds.), Combinatorial Optimization and Theoretical Computer Science: Interfaces and Perspectives: 30th Anniversary of the LAMSADE (pp 175-201). Wiley-ISTE.

Chevaleyre, Y., Endriss, U., Maudet, N. (2017) Distributed Fair Allocation of Indivisible Goods.

Artificial Intelligence, Vol. 242 (pp 1-22)

Article | https://doi.org/10.1016/j.artint.2016.09.005 | UvA-DARE

Chiang, D., Diab, R.M., Habash, N., Hwa, R., Levy, R., Rambow, O., Sima'an, K. (2006) Parsing Arabic Dialects.

The Johns Hopkins Summer Workshop Series on Natural Language Engineering. Johns Hopkins University.

Book (Editorship) | UvA-DARE

Chidlovskii, B., Ragetli, H.J.N., de Rijke, M. (2000) Automatic wrapper generation for web search engines.

Lecture Notes in Computer Science

Article | UvA-DARE

Chidlovskii, B., Ragetli, H.J.N., de Rijke, M. (2000) Wrapper generation via grammar induction.

Lecture Notes in Computer Science, Vol. 1810

Article | UvA-DARE

Childs, A.M., Fu, H., Leung, D., Li, Z., Ozols, M., Vyas, V. (2023) Streaming quantum state purification.

ArXiv.

Preprint | https://doi.org/10.48550/arXiv.2309.16387.v1 | UvA-DARE

Childs, A.M., Fu, H., Leung, D., Li, Z., Ozols, M., Vyas, V. (2025) Streaming quantum state purification.

Quantum, Vol. 9

Article | https://doi.org/10.22331/q-2025-01-21-1603 | UvA-DARE

Chingoma, J., Endriss, U., de Haan, R. (2022) Simulating Multiwinner Voting Rules in Judgment Aggregation.

In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems : May 9-13, 2022, virtual event, New Zealand (pp 263-271). International Foundation for Autonomous Agents and Multiagent Systems.

Chingoma, J., Haret, A. (2023) Deliberation as Evidence Disclosure: A Tale of Two Protocol Types.

In Elkind, E. (Eds.), Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence: IJCAI 2023, Macao, S.A.R, 19-25 August 2023 (pp 2589-2597). International Joint Conferences on Artificial Intelligence.

Chingoma, J., Haret, Adrian (2023) Deliberation as Evidence Disclosure: A Tale of Two Protocol Types: Extended abstract.

Abstract | https://dl.acm.org/doi/10.5555/3545946.3599105 | UvA-DARE

Chingoma, J. (2023) Fairness and Stability in Complex Domains.

In Elkind, E. (Eds.), Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence: IJCAI 2023, Macao, S.A.R, 19-25 August 2023 (pp 7079-7080). International Joint Conferences on Artificial Intelligence.

Chingoma, J. (2025) On proportionality in complex domains.

ILLC Dissertation Series

Thesis, fully internal | UvA-DARE

Chintam, A., Beloch, R., Zuidema, W., Hanna, M., van der Wal, O. (2023) Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model.

In Belinkov, Y. Hao, S. Jumelet, J. Kim, N. McCarthy, A. Mohebbi, H. (Eds.), BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP: Proceedings of the Sixth Workshop : EMNLP 2023 : December 7, 2023 (pp 379-394). The Association for Computational Linguistics.

Chittar, C.R., Jang, H., Samuni, L., Lewis, J., Honing, H., van Loon, E.E., Janmaat, K.R.L. (2023) Music production and its role in coalition signaling during foraging contexts in a hunter-gatherer society.

Frontiers in Psychology, Vol. 14

Article | https://doi.org/10.3389/fpsyg.2023.1218394 | UvA-DARE

Choenni, Rochelle, Garrette, D., Shutova, E. (2023) How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning.

In Bouamor, H. Pino, J. Bali, K. (Eds.), The 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 : Proceedings of the Conference : December 6-10, 2023 (pp 13244-13257). Association for Computational Linguistics.

Choenni, Rochelle, Garrette, D., Shutova, E. (2023) Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing.

Computational Linguistics, Vol. 49 (pp 613-641)

Article | https://doi.org/10.1162/coli_a_00482 | UvA-DARE

Choenni, Rochelle, Hendrikx, Evi, Beinborn, L.M. (2019) On the Evaluation of Structural Similarity between Brain and Computational Models.

Poster | UvA-DARE

Choenni, Rochelle, Lauscher, A., Shutova, E. (2024) The Echoes of Multilinguality: Tracing Cultural Value Shifts during Language Model Fine-tuning.

In Ku, L.-W. Martins, A. Srikumar, V. (Eds.), The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024) : proceedings of the conference: ACL 2024 : August 11-16, 2024 (pp 15042-15058). Association for Computational Linguistics.

Choenni, Rochelle, Shutova, E., Garrette, D. (2024) Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks.

In Duh, K. Gomez, H. Bethard, S. (Eds.), Findings of the Association for Computational Linguistics: NAACL 2024: Findings : June 16-21, 2024 (pp 287-301). Association for Computational Linguistics.

Choenni, Rochelle, Shutova, E., van Rooij, R. (2021) Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you?'.

In Moens, M.-C. Huang, X. Specia, L. Yih, S.W. (Eds.), 2021 Conference on Empirical Methods in Natural Language Processing: EMNLP 2021 : proceedings of the conference : November 7-11, 2021 (pp 1477-1491). The Association for Computational Linguistics.