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Yang, K, Liu, Z., Xie, Q., Huang, J., Min, E. and Ananiadou, S., Selective Preference Optimization via Token-Level Reward Function Estimation, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), In Press
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Yang, K, Liu, Z., Xie, Q., Huang, J., Zhang, T. and 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. and Ananiadou, S., Disentangled Variational Autoencoder for Emotion Recognition in Conversations (2023), in: IEEE Transactions on Affective Computing(1-12)
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Yano, K., Luo, Z., Huang, J., Xie, Q., Asada, M., Yuan, C., Yang, K, Miwa, M., Ananiadou, S. and 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), pages 4670–4688, 2025
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Yoshida, K. and Tsujii, J., Reranking for Biomedical Named-Entity Recognition, in: Proceedings of BioNLP 2007: Biological, translational, and clinical language processing, pages 209--216, 2007
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Yoshida, K., Tsuruoka, Y., Miyao, Y. and 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), pages 1783-1788, 2007
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Yu, K., Miyao, Y., Matsuzaki, T., Wang, X., Zhang, Y., Uchimoto, K. and 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. and Tsujii, J., Bilingual Dictionary Extraction from Wikipedia, in: Proceedings of Machine Translation Summit XII, 2009
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Yu, Z. and Ananiadou, S., Locate-then-Merge: Neuron-Level Parameter Fusion for Mitigating Catastrophic Forgetting in Multimodal LLMs, in: Findings of the Association for Computational Linguistics: EMNLP 2024, In Press
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Yu, Z. and 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, pages 3281–3292, 2024
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Yu, Z. and 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, pages 3293–3306, 2024
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Yu, Z. and Ananiadou, S., Neuron-Level Knowledge Attribution in Large Language Models, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 3267–3280, 2024
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Yu, Z., Belinkov, Y. and Ananiadou, S., Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models, in: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), In Press
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