2026

  • Arzberger, A., Offerman, C., Gadiraju, U., Bozzon, A. and Yang, J., 2026. "Label from Somewhere": Reflexive Annotating for Situated AI Alignment. arXiv preprint arXiv:2601.17937.

  • Arzberger, A., Liscio, E., Lupetti, M.L., de Troya, I.M.D.R. and Yang, J., 2026. Co-Constructing Alignment: A Participatory Approach to Situate AI Values. arXiv preprint arXiv:2601.15895.

2025

  • Andrea Tocchetti, Lorenzo Corti, Agathe Balayn, Mireia Yurrita, Philip Lippmann, Marco Brambilla, Jie Yang. A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities. In ACM Computing Surveys (CSUR), 2025.

  • Philip Lippmann and Jie Yang. “Style over Substance: Distilled Language Models Reason Via Stylistic Replication.“In the Second Conference on Language Modeling (COLM), 2025.

  • Philip Lippmann and Jie Yang. “Zero-Shot Contextual Embeddings via Offline Synthetic Corpus Generation.“ In Empirical Methods in Natural Language Processing (EMNLP), pp. 2089–2104,2025.

  • Philip Lippmann, Konrad Skublicki, Joshua Tanner, Shonosuke Ishiwatari, and Jie Yang. “Context-Informed Machine Translation of Manga using Multimodal Large Language Models.“In Proceedings of The 31st International Conference on Computational Linguistics (COLING),2025.

  • Xu, X., Dumontier, M. and Sun, C., 2025, January. Using Clinical Guidelines, domain ontology, and LLMs for Personalized Leukemia Treatment Recommendations. 8th Workshop on Semantic Web Solutions for Large-Scale Biomedical Data Analytics. Co-event with The ESWC 2025: Extended Semantic Web Conference, In CEUR Workshop Proceedings (Vol. 4001). CEUR-WS.

  • Bonatti, P.A., Domingue, J., Gentile, A.L., Harth, A., Hartig, O., Hogan, A., Hose, K., Jimenez-Ruiz, E., McGuinness, D.L., Sun, C. and Verborgh, R., 2025. Towards Computer-Using Personal Agents. arXiv preprint arXiv:2503.15515.

  • Loesch, Julie, Emin Durmus, and Remzi Celebi. "RecipeRAG: A Knowledge Graph-Driven Approach to Personalized Recipe Retrieval and Generation." CEUR Workshop Proceedings. Vol. 4079. CEUR-WS, 2025.

  • Noben, Özge, Ömer Durukan Kılıç, Tjitze Rienstra, Michel Dumontier, and Remzi Celebi. "Rule-augmented constraint learning for semantic error detection in MIMIC-III knowledge graph." International journal of medical informatics 210: 106297.

  • Sun, Chang, and Michel Dumontier. "Generating unseen diseases patient data using ontology enhanced generative adversarial networks." npj Digital Medicine 8.1 (2025): 4.

2024

  • Sara Salimzadeh, Gaole He, Ujwal Gadiraju. Dealing with Uncertainty: Understanding the Impact of Prognostic Versus Diagnostic Tasks on Trust and Reliance in Human-AI Decision Making. In Proceedings of the ACM International Conference on Human Factors in Computing Systems (CHI 2024).

  • Alexander Erlei, Abhinav Sharma, Ujwal Gadiraju. Understanding Choice Independence and Error Types in Human-AI Collaboration. In Proceedings of the ACM International Conference on Human Factors in Computing Systems (CHI 2024).

  • Lorenzo Corti, Rembrandt Oltmans, Jiwon Jung, Agathe Balayn, Marlies Wijsenbeek, and Jie Yang. `It Is a Moving Process': Understanding the Evolution of Explainability Needs of Clinicians in Pulmonary Medicine. In ACM Conference on Human Factors in Computing Systems (CHI), 2024.

  • Shreyan Biswas, Ji-Youn Jung, Abhishek Unnam, Kuldeep Yadav, Shreyansh Gupta, Ujwal Gadiraju. “Hi. I’m Molly, Your Virtual Interviewer!” Exploring the Impact of Race and Gender in AI-powered Virtual Interview Experiences. In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP), 2024.

  • Anne Arzberger, Stefan Buijsman, Maria Luce Lupetti, Alessandro Bozzon, and Jie Yang. 2024. Nothing Comes Without Its World – Practical Challenges of Aligning LLMs to Situated Human Values through RLHF. In Proceedings of the 2024 AAAI/ACM Conference on AI, Ethics, and Society (AIES).

  • Doan, Nguyen Nam, Aki Härmä, Remzi Celebi, and Valeria Gottardo. "A Hybrid Retrieval Approach for Advancing Retrieval-Augmented Generation Systems." In Proceedings of the 7th International Conference on Natural Language and Speech Processing (ICNLSP 2024), pp. 397-409. Association for Computational Linguistics, 2024.

  • Automated identification of healthier food substitutions through a combination of graph neural networks and nutri-scores Loesch, J., van Lier, I., de Boer, A., Scholtes, J., Dumontier, M. & Celebi, R., 1 Jan 2024, In: Journal of Food Composition and Analysis. 125, 10 p., 105829.

  • Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, and Wenyuan Liu. “Adaptive In-Context Learning with Large Language Models for Bundle Generation.“In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), full paper,pp. 966-976. 2024.

  • Weijian Yu, Jie Yang, and Dingqi Yang. “Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning.“ In Proceedings of the ACM on Web Conference 2024 (WWW/TheWebConf),full paper, pp. 2282-2293. 2024.

  • Alisa Smirnova, Jie Yang, and Philippe Cudre-Mauroux. “XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction.“ In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM), pp. 2097-2107. 2024.

  • Zhen Wang, Peide Zhu, and Jie Yang. “ControversialQA: Exploring Controversy in Question Answering.“ In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language ResourcesandEvaluation (LREC-COLING), pp. 3962-3966. 2024.

  • Loesch, Julie, Ilse van Lier, Alie de Boer, Jan Scholtes, Michel Dumontier, and Remzi Celebi. Automated identification of healthier food substitutions through a combination of graph neural networks and nutri-scores. Journal of Food Composition and Analysis 125 (2024): 105829.

  • Sun, Chang, Johan van Soest, and Michel Dumontier. Generating synthetic personal health data using conditional generative adversarial networks combining with differential privacy. Journal of Biomedical Informatics 143 (2023): 104404.