Publications by Kailai Yang

Papers by Kailai Yang at NaCTeM, newest first. All publications

2025 | 2024 | 2023 | 2022

31 publications

2025

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 [URL]
Cai, Y., Wang, F., Wang, H., Wang, K., Yang, K, Ananiadou, S., Li, M. and Fan, M., Exploring Safety Alignment Evaluation of LLMs in Chinese Mental Health Dialogues via LLM-as-Judge, in: arXiv, 2025 [DOI] [URL]
Liu, Z., Wang, K., Bao, Z., Zhang, X., Dong, J., Yang, K, Kabir, M., Giannouris, P., Xing, R., Park, S., Kim, J., Li, D., Xie, Q. and Ananiadou, S., FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task, in: Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal), pages 271–276, 2025 [URL]
Liu, Z., Zhang, X., Yang, K, Xie, Q., Huang, J. and Ananiadou, S., FMDLlama: Financial Misinformation Detection Based on Large Language Models, in: Proceedings of the ACM on Web Conference 2025, pages 1153–1157, 2025 [DOI] [URL]
Hua, Y., Liu, F., Yang, K, Li, Z., Na, H., Sheu, Y.-H., Zhou, P., Moran, L. V., Ananiadou, S., Clifton, D. A., Beam, A. and Torous, J., Large Language Models in Mental Health Care: A Scoping Review, in: Current Treatment Options in Psychiatry, 12(27), 2025 [DOI] [URL]
Liu, Z., Qian, L., Xie, Q., Huang, J., Yang, K and Ananiadou, S., MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs, in: arXiv, 2025 [URL]
Yang, K, Leng, Y., Zhang, X., Zhang, T., Thompson, P., Keavney, B., Tomaszewski, M. and Ananiadou, S., Natural Language Processing for Cardiology: A Narrative Review, in: arXiv, 2025 [DOI] [URL]
Liu, Z., Yang, K, Xie, Q., de Kock, C., Ananiadou, S. and Hovy, E., RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information, in: Proceedings of ACL 2025, pages 16508–16523, 2025 [DOI] [URL]
Liu, Z., Yang, K, Hovy, E. and Ananiadou, S., Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments, in: arXiv, 2025 [URL]
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), pages 7032–7056, 2025 [DOI] [URL]

2024

Liu, Z., Yang, K., Xie, Q., Zhang, T. and Ananiadou, S., EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis, 2024 [DOI] [URL] [Pure]
Yang, K., Liu, Z., Xie, Q., Huang, J., Zhang, T. and Ananiadou, S., MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models, in: Thirty-Eighth Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 10/12/24, 2024 [URL] [Pure]
Yang, K., Zhang, T., Kuang, Z., Xie, Q., Huang, J. and Ananiadou, S., MentaLLaMA: interpretable mental health analysis on social media with large language models, in: WWW '24:, pages 4489–4500, 2024 [DOI] [URL] [Pure]
Liu, Z., Liu, B, Thompson, P., Yang, K and Ananiadou, S., ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model, in: Proceedings of the 13th International Conference on Prestigious Applications of Intelligent Systems (PAIS-2024), pages 4649–4656, 2024 [DOI] [URL]
Liu, Z., Zhang, T., Yang, K., Thompson, P., Yu, Z. and Ananiadou, S., Emotion detection for misinformation: A review, in: Information Fusion, 2024 [DOI] [Pure]
Xie, Q., Han, W., Chen, Z., Xiang, R., Zhang, X., He, Y., Xiao, M., Li, D., Dai, Y., Feng, D., Xu, Y., Kang, H., Kuang, Z., Yuan, C., Yang, K, Luo, Z., Zhang, T., Liu, Z., Xiong, G., Deng, Z., Jiang, Y., Yao, Z., Li, H., Yu, Y., Lopez-Lira, A., Wang, B., Lai, Y., Wang, H., Peng, M., Ananiadou, S. and Huang, J., FinBen: An Holistic Financial Benchmark for Large Language Models, in: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 [URL]
Xie, Q., Huang, J., Li, D., Chen, Z., Xiang, R., Xiao, M., Yu, Y., Somasundaram, V., Yang, K, Yuan, C., Luo, Z., Liu, Z., He, Y., Jiang, Y., Li, H., Feng, D., Liu, X. -Y., Wang, B., Wang, H., Lai, Y., Suchow, J., Lopez-Lira, A., Peng, M. and Ananiadou, S., FinNLP-AgentScen-2024 Shared Task: Financial Challenges in Large Language Models - FinLLMs, in: Proceedings of the Eighth Financial Technology and Natural Language Processing and the 1st Agent AI for Scenario Planning, pages 119- 126, 2024 [URL]
Liu, Z., Zhang, X., Yang, K, Xie, Q., Huang, J. and Ananiadou, S., FMDLlama: Financial Misinformation Detection based on Large Language Models, in: arXiv, 2024 [URL]
Hua, Y., Liu, F., Yang, K, Li, Z., Sheu, Y., Zhou, P., Moran, L. V., Ananiadou, S. and Beam, A., Large Language Models in Mental Health Care: a Scoping Review, in: arXiv, 2024 [URL]
Yang, K, Liu, Z., Xie, Q., Huang, J., Min, E. and Ananiadou, S., Selective Preference Optimization via Token-Level Reward Function Estimation, in: arXiv, 2024 [URL]
Zhang, T., Yang, K, Ji, S., Liu, B, Xie, Q. and Ananiadou, S., SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content, in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '24), pages 1136–1141, 2024 [URL]

2023

Zhang, T., Yang, K., Alhuzali, H. and Ananiadou, S., PHQ-aware depressive symptoms identification with similarity contrastive learning on social media, in: Information Processing & Management, 2023 [DOI] [URL] [Pure]
Zhang, T., Yang, K. and Ananiadou, S., Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media, in: The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, pages 114–126, 2023 [DOI] [URL] [Pure]
Yang, K., Zhang, T. and Ananiadou, S., Disentangled Variational Autoencoder for Emotion Recognition in Conversations, in: IEEE Transactions on Affective Computing, 2023 [DOI] [URL] [Pure]
Zhang, T., Yang, K. and Ananiadou, S., Emotion fusion for mental illness detection from social media: A survey, in: Information Fusion, pages 231–246, 2023 [DOI] [URL] [Pure]
Yang, K., Zhang, T., Alhuzali, H. and Ananiadou, S., Cluster-Level Contrastive Learning for Emotion Recognition in Conversations, in: IEEE Transactions on Affective Computing, 2023 [DOI] [URL] [Pure]
Yang, K, Zhang, T. and Ananiadou, S., A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge, in: Proceedings of CIKM 2023, pages 2917–2927, 2023 [URL]
Ji, S., Zhang, T., Yang, K and Ananiadou, S., Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health, in: arXiv, 2023 [URL]
Ji, S., Zhang, T., Yang, K and Ananiadou, S., Rethinking large language models in mental health applications, in: arXiv, 2023 [URL]
Yang, K, Ji, S., Zhang, T., Xie, Q., Kuang, Z. and Ananiadou, S., Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, pages 6056–6077, 2023 [URL]

2022

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