Ananiadou, S. - NaCTeM Publications - Aigaion 2.0

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Deutsch, English, Nederlands, Norsk, Português, <meer...>

Voornamen:	S.
Achternamen:	Ananiadou

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Yamada, T., Kamata, R., Ishinohachi, K., Shojima, N., Ananiadou, S., Noma, H., Yamauchi, T. en Kadowaki, T., Biosimilar Versus Originator Insulins: Systematic review and meta-analysis (2018), in: Diabetes, Obesity and Metabolism

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Yang, K, Ji, S., Zhang, T., Xie, Q., Kuang, Z. en Ananiadou, S., Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, pagina's 6056–6077, 2023

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Yang, K, Leng, Y., Zhang, X., Zhang, T., Thompson, P., Keavney, B., Tomaszewski, M. en Ananiadou, S., Natural Language Processing for Cardiology: A Narrative Review, arXiv, 2025

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Yang, K, Liu, Z., Xie, Q., Huang, J., Min, E. en 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), pagina's 7032–7056, 2025

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Yang, K, Liu, Z., Xie, Q., Huang, J., Min, E. en 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. en 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. en 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. en Ananiadou, S., A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge, in: Proceedings of CIKM 2023, pagina's 2917–2927, 2023

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Yang, K, Zhang, T. en 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. en 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. en Ananiadou, S., MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models, in: Proceedings of WWW 2024, pagina's 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. en 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), pagina's 4670–4688, 2025

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Yano, K., Miwa, M. en Ananiadou, S., IRIS: Rapid Curation Framework for Iterative Improvement of Noisy Named Entity Annotations, in: Proceedings of the International Conference on Applications of Natural Language to Information Systems, pagina's 58-69, 2025

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

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

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Yu, Z. en 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, pagina's 7065–7078, 2025

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Yu, Z. en 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, pagina's 3281–3292, 2024

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

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Yu, Z. en 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, pagina's 3293–3306, 2024

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

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Yu, Z., Belinkov, Y. en 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), pagina's 11257–11272, 2025

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

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

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Yuan, C., Xie, Q., Huang, J. en 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), pagina's 1963 - 1974, 2024

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Zerva, C. en Ananiadou, S., Paths for uncertainty: Exploring the intricacies of uncertainty identification for news, in: Proceedings of the NAACL Workshop on Computational Semantics Beyond Events and Roles (SemBEaR), pagina's 6-20, 2018

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