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Yang, K, Ji, S., Zhang, T., Xie, Q., Kuang, Z. und Ananiadou, S., Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, Seiten 6056–6077, 2023

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Yang, K, Liu, Z., Xie, Q., Huang, J., Min, E. und Ananiadou, S., Selective Preference Optimization via Token-Level Reward Function Estimation, arXiv, 2024

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Yang, K, Liu, Z., Xie, Q., Huang, J., Zhang, T. und Ananiadou, S., MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models, in: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024

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Yang, K, Zhang, T., Alhuzali, H. und Ananiadou, S., Cluster-Level Contrastive Learning for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12)

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Yang, K, Zhang, T. und Ananiadou, S., A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge, in: Proceedings of CIKM 2023, Seiten 2917–2927, 2023

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Yang, K, Zhang, T. und Ananiadou, S., Disentangled Variational Autoencoder for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12)

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Yang, K, Zhang, T. und Ananiadou, S., A Mental State Knowledge-Aware and Contrastive Network for Early Stress and Depression Detection on Social Media (2022), in: Information Processing and Management, 59:4(102961)

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Yang, K, Zhang, T., Kuang, Z., Xie, Q., Huang, J. und Ananiadou, S., MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models, in: Proceedings of WWW 2024, Seiten 4489 - 4500, 2024

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Yano, K., Luo, Z., Huang, J., Xie, Q., Asada, M., Yuan, C., Yang, K, Miwa, M., Ananiadou, S. und Tsujii, J., ELAINE-medLLM: Lightweight English Japanese Chinese Trilingual Large Language Model for Bio-medical Domain, in: Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), Seiten 4670–4688, 2025

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Yano, K., Miwa, M. und Ananiadou, S., IRIS: Iterative Improvement of Distantly Supervised Named Entity Annotations, Research Square, 2024

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Yoshida, K. und Tsujii, J., Reranking for Biomedical Named-Entity Recognition, in: Proceedings of BioNLP 2007: Biological, translational, and clinical language processing, Seiten 209--216, 2007

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Yoshida, K., Tsuruoka, Y., Miyao, Y. und Tsujii, J., Ambiguous Part-of-Speech Tagging for Improving Accuracy and Domain Portability of Syntactic Parsers, in: Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (IJCAI-07), Seiten 1783-1788, 2007

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Yu, K., Miyao, Y., Matsuzaki, T., Wang, X., Zhang, Y., Uchimoto, K. und Tsujii, J., Comparison of Chinese Treebanks for Corpus-oriented HPSG Grammar Development (2010), in: Journal of Natural Language Processing (Special Issue on Empirical Methods for Asian Language Processing)

Yu, K. und Tsujii, J., Extracting Bilingual Dictionary from Comparable Corpora with Dependency Heterogeneity, in: Proceedings of NAACL-HLT 2009, Seiten 121--124, 2009

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Yu, K. und Tsujii, J., Bilingual Dictionary Extraction from Wikipedia, in: Proceedings of Machine Translation Summit XII, 2009

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Yu, Z. und Ananiadou, S., Understanding and Mitigating Gender Bias in LLMs via Interpretable Neuron Editing, arXiv, 2025

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Yu, Z. und Ananiadou, S., Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs, arXiv, 2025

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Yu, Z. und Ananiadou, S., How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric Learning, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Seiten 3281–3292, 2024

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Yu, Z. und Ananiadou, S., Understanding Multimodal LLMs: the Mechanistic Interpretability of Llava in Visual Question Answering, arXiv, 2024

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Yu, Z. und Ananiadou, S., Interpreting Arithmetic Mechanism in Large Language Models through Comparative Neuron Analysis, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Seiten 3293–3306, 2024

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Yu, Z. und Ananiadou, S., Neuron-Level Knowledge Attribution in Large Language Models, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, Seiten 3267–3280, 2024

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Yu, Z., Belinkov, Y. und Ananiadou, S., Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models, arXiv, 2025

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Yuan, C., Xie, Q. und Ananiadou, S., Temporal relation extraction with contrastive prototypical sampling (2024), in: Knowledge-based Systems, 286(111410)

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Yuan, C., Xie, Q. und Ananiadou, S., Zero-shot Temporal Relation Extraction with ChatGPT, in: Proceedings of BioNLP 2023, Seiten 92–102, 2023

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Yuan, C., Xie, Q., Huang, J. und Ananiadou, S., Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models, in: Proceedings of the ACM on Web Conference 2024 (WWW '24), Seiten 1963 - 1974, 2024

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