A MOOC Courses Recommendation System Based on Learning Behaviours. - Shengjun Yin; Kailai Yang; Hongzhi Wang 001 (ACM TUR-C, 2020)

Knowledge-Interactive Network with Sentiment Polarity Intensity-Aware Multi-Task Learning for Emotion Recognition in Conversations. - Yunhe Xie; Kailai Yang; Chengjie Sun; Bingquan Liu; Zhenzhou Ji (EMNLP (Findings), 2021)

A mental state Knowledge-aware and Contrastive Network for early stress and depression detection on social media. - Kailai Yang; Tianlin Zhang; Sophia Ananiadou (Inf. Process. Manag., 2022)

Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media. - Tianlin Zhang; Kailai Yang; Sophia Ananiadou (BioNLP@ACL, 2023)

A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge. - Kailai Yang; Tianlin Zhang; Shaoxiong Ji; Sophia Ananiadou (CIKM, 2023)

Towards Interpretable Mental Health Analysis with Large Language Models. - Kailai Yang; Shaoxiong Ji; Tianlin Zhang; Qianqian Xie; Ziyan Kuang; Sophia Ananiadou (EMNLP, 2023)

Attitude Estimation of Quadrotor UAV Based on QUKF. - Tao Liang; Kailai Yang; Qiang Han; Chenjie Li; Junlin Li; Qingwen Deng; Shidong Chen; Xianguo Tuo (IEEE Access, 2023)

On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis. - Kailai Yang; Shaoxiong Ji; Tianlin Zhang; Qianqian Xie; Sophia Ananiadou (CoRR, 2023)

Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health. - Shaoxiong Ji; Tianlin Zhang; Kailai Yang; Sophia Ananiadou; Erik Cambria; Jörg Tiedemann (CoRR, 2023)

MentalLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. - Kailai Yang; Tianlin Zhang; Ziyan Kuang; Qianqian Xie; Sophia Ananiadou (CoRR, 2023)

Rethinking Large Language Models in Mental Health Applications. - Shaoxiong Ji; Tianlin Zhang; Kailai Yang; Sophia Ananiadou; Erik Cambria (CoRR, 2023)

Exploring the Residual Stream of Transformers. - Zeping Yu; Kailai Yang; Zhiwei Liu; Sophia Ananiadou (CoRR, 2023)

Cluster-Level Contrastive Learning for Emotion Recognition in Conversations. - Kailai Yang; Tianlin Zhang; Hassan Alhuzali; Sophia Ananiadou (IEEE Trans. Affect. Comput., 2023)

Emotion fusion for mental illness detection from social media: A survey. - Tianlin Zhang; Kailai Yang; Shaoxiong Ji; Sophia Ananiadou (Inf. Fusion, 2023)

PHQ-aware depressive symptoms identification with similarity contrastive learning on social media. - Tianlin Zhang; Kailai Yang; Hassan Alhuzali; Boyang Liu 002; Sophia Ananiadou (Inf. Process. Manag., 2023)

HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy. - Mengxi Xiao; Qianqian Xie; Ziyan Kuang; Zhicheng Liu; Kailai Yang; Min Peng 002; Weiguang Han; Jimin Huang (ACL (1), 2024)

ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model. - Zhiwei Liu 003; Boyang Liu 002; Paul Thompson 002; Kailai Yang; Sophia Ananiadou (ECAI, 2024)

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis. - Zhiwei Liu 003; Kailai Yang; Qianqian Xie; Tianlin Zhang; Sophia Ananiadou (KDD, 2024)

FinBen: A Holistic Financial Benchmark for Large Language Models. - Qianqian Xie; Weiguang Han; Zhengyu Chen; Ruoyu Xiang; Xiao Zhang; Yueru He; Mengxi Xiao; Dong Li; Yongfu Dai; Duanyu Feng; Yijing Xu; Haoqiang Kang; et al. (NeurIPS, 2024)

MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models. - Kailai Yang; Zhiwei Liu 003; Qianqian Xie; Jimin Huang; Tianlin Zhang; Sophia Ananiadou (NeurIPS, 2024)

SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content. - Tianlin Zhang; Kailai Yang; Shaoxiong Ji; Boyang Liu 002; Qianqian Xie; Sophia Ananiadou (SIGIR, 2024)

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. - Kailai Yang; Tianlin Zhang; Ziyan Kuang; Qianqian Xie; Jimin Huang; Sophia Ananiadou (WWW, 2024)

Large Language Models in Mental Health Care: a Scoping Review. - Yining Hua; Fenglin Liu; Kailai Yang; Zehan Li; Yi-han Sheu; Peilin Zhou; Lauren V. Moran; Sophia Ananiadou; Andrew Beam (CoRR, 2024)

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis. - Zhiwei Liu 003; Kailai Yang; Tianlin Zhang; Qianqian Xie; Zeping Yu; Sophia Ananiadou (CoRR, 2024)

The FinBen: An Holistic Financial Benchmark for Large Language Models. - Qianqian Xie; Weiguang Han; Zhengyu Chen; Ruoyu Xiang; Xiao Zhang; Yueru He; Mengxi Xiao; Dong Li; Yongfu Dai; Duanyu Feng; Yijing Xu; Haoqiang Kang; et al. (CoRR, 2024)

ConspEmoLLM: Conspiracy Theory Detection Using an Emotion-Based Large Language Model. - Zhiwei Liu 003; Boyang Liu 002; Paul Thompson 002; Kailai Yang; Raghav Jain; Sophia Ananiadou (CoRR, 2024)

MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models. - Kailai Yang; Zhiwei Liu 001; Qianqian Xie; Tianlin Zhang; Nirui Song; Jimin Huang; Ziyan Kuang; Sophia Ananiadou (CoRR, 2024)

Selective Preference Optimization via Token-Level Reward Function Estimation. - Kailai Yang; Zhiwei Liu 003; Qianqian Xie; Jimin Huang; Erxue Min; Sophia Ananiadou (CoRR, 2024)

Emotion detection for misinformation: A review. - Zhiwei Liu 003; Tianlin Zhang; Kailai Yang; Paul Thompson 002; Zeping Yu; Sophia Ananiadou (Inf. Fusion, 2024)

Disentangled Variational Autoencoder for Emotion Recognition in Conversations. - Kailai Yang; Tianlin Zhang; Sophia Ananiadou (IEEE Trans. Affect. Comput., 2024)

RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information. - Zhiwei Liu 003; Kailai Yang; Qianqian Xie; Christine de Kock; Sophia Ananiadou; Eduard H. Hovy (ACL (1), 2025)

FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task. - Zhiwei Liu 003; Keyi Wang; Zhuo Bao; Xin Zhang 108; Jiping Dong; Kailai Yang; Mohsinul Kabir; Polydoros Giannouris; Rui Xing; Seongchan Park; Jaehong Kim; Dong Li; et al. (COLING Workshops, 2025)

ELAINE-medLLM: Lightweight English Japanese Chinese Trilingual Large Language Model for Bio-medical Domain. - Ken Yano; Zheheng Luo; Jimin Huang; Qianqian Xie; Masaki Asada; Chenhan Yuan; Kailai Yang; Makoto Miwa; Sophia Ananiadou; Jun'ichi Tsujii (COLING, 2025)

FMDLlama: Financial Misinformation Detection Based on Large Language Models. - Zhiwei Liu 003; Xin Zhang 108; Kailai Yang; Qianqian Xie; Jimin Huang; Sophia Ananiadou (WWW (Companion Volume), 2025)

Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models. - Zhenghao Lin; Zihao Tang; Xiao Liu 029; Yeyun Gong; Yi Cheng; Qi Chen 009; Hang Li; Ying Xin; Ziyue Yang; Kailai Yang; Yu Yan; Xiao Liang; et al. (CoRR, 2025)

Rumor Detection by Multi-task Suffix Learning based on Time-series Dual Sentiments. - Zhiwei Liu 003; Kailai Yang; Eduard H. Hovy; Sophia Ananiadou (CoRR, 2025)

MMAFFBen: A Multilingual and Multimodal Affective Analysis Benchmark for Evaluating LLMs and VLMs. - Zhiwei Liu 001; Lingfei Qian; Qianqian Xie; Jimin Huang; Kailai Yang; Sophia Ananiadou (CoRR, 2025)

MIRA: Medical Time Series Foundation Model for Real-World Health Data. - Hao Li 074; Bowen Deng; Chang Xu 008; Zhiyuan Feng; Viktor Schlegel; Yu-Hao Huang; Yizheng Sun; Jingyuan Sun; Kailai Yang; Yiyao Yu; Jiang Bian 002 (CoRR, 2025)

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training. - Kailai Yang; Xiao Liu 029; Lei Ji; Hao Li 074; Yeyun Gong; Peng Cheng 005; Mao Yang 004 (CoRR, 2025)

Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement. - Hao Li 074; Yizheng Sun; Viktor Schlegel; Kailai Yang; Riza Batista-Navarro; Goran Nenadic (CoRR, 2025)

Exploring Safety Alignment Evaluation of LLMs in Chinese Mental Health Dialogues via LLM-as-Judge. - Yunna Cai; Fan Wang; Haowei Wang; Kun Wang; Kailai Yang; Sophia Ananiadou; Moyan Li; Mingming Fan 001 (CoRR, 2025)