Kailai Yang

Kailai Yang

PhD candidate, The University of Manchester.

Selected Publications

For a full list of my publications, please visit my Google Scholar page.
  • Preprints
    • Kailai Yang, Zhiwei Liu, Qianqian Xie, Jimin Huang, Erxue Min, Sophia Ananiadou. "Selective Preference Optimization via Token-Level Reward Function Estimation". Download paper
    • Zhiwei Liu, Kailai Yang, Qianqian Xie, Christine de Kock, Sophia Ananiadou, Eduard Hovy. "RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information". Download paper
  • Conference Papers
    • Kailai Yang, Zhiwei Liu, Qianqian Xie, Jimin Huang, Tianlin Zhang, Sophia Ananiadou. "MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models". In NeurlPS 2024 Download paper
    • Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, Jimin Huang, Sophia Ananiadou. "MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models". In WWW 2024 Download paper
    • Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Ziyan Kuang, Sophia Ananiadou. "Towards Interpretable Mental Health Analysis with Large Language Models". In EMNLP 2023 Download paper
    • Kailai Yang, Tianlin Zhang, Shaoxiong Ji, Sophia Ananiadou. "A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge". In CIKM 2023. Download paper
    • Kailai Yang*, Yunhe Xie*, Chengjie Sun, Bingquan Liu, Zhenzhou Ji. "Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations". In EMNLP 2021 findings. Download paper
    • Zhiwei Liu, Kailai Yang, Tianlin Zhang, Qianqian Xie, Sophia Ananiadou. "EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis". In KDD 2024. Download paper
    • Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Boyang Liu, Qianqian Xie, Sophia Ananiadou. "SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content". In SIGIR 2024 Resource Track. Download paper
  • Journal Papers
    • Kailai Yang, Tianlin Zhang, Sophia Ananiadou. "Disentangled Variational Autoencoder for Emotion Recognition in Conversations". In IEEE Transactions on Affective Computing, 2023 (IF: 13.99) Download paper
    • Kailai Yang, Tianlin Zhang, Hassan Alhuzali, Sophia Ananiadou. "Cluster-Level Contrastive Learning for Emotion Recognition in Conversations". In IEEE Transactions on Affective Computing, 2023 (IF: 13.99) Download paper
    • Kailai Yang, Tianlin Zhang, Sophia Ananiadou. "A Mental State Knowledge-Aware and Contrastive Network for Early Stress and Depression Detection on Social Media". In Information Processing & Management, 2022 (IF: 8.6). Download paper
    • Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Sophia Ananiadou. "Emotion fusion for mental illness detection from social media: A survey". In Information Fusion, 2022 (IF: 17.564). Download paper
    • Tianlin Zhang, Kailai Yang, Hassan Alhuzali, Boyang Liu, Sophia Ananiadou. "PHQ-aware depressive symptoms identification with similarity contrastive learning on social media". In Information Processing & Management, 2022 (IF: 8.6). Download paper
    • Zhiwei Liu, Tianlin Zhang, Kailai Yang, Paul Thompson, Zeping Yu, Sophia Ananiadou. "Emotion Detection for Misinformation: A Review". In Information Fusion, 2024 (IF: 17.564) Download paper