A comprehensive study on clinical depression assessment combining behavioral signatures with psychiatric reasoning.
@inproceedings{chen2026unveiling,title={Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning},author={Chen, Zhuang and Bi, Guanqun and Zhang, Wen and Hu, Jiawei and Wang, Aoyun and Xiao, Xiyao and Feng, Kun and Huang, Minlie},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},year={2026},}
2025
ACL
MAGI: Multi-Agent Guided Interview for Psychiatric Assessment
Guanqun Bi, Zhuang Chen, Zhoufu Liu, and 8 more authors
In Findings of the Association for Computational Linguistics: ACL 2025, 2025
We propose MAGI, a multi-agent framework for psychiatric assessment through guided interviews.
@inproceedings{bi2025magi,title={MAGI: Multi-Agent Guided Interview for Psychiatric Assessment},author={Bi, Guanqun and Chen, Zhuang and Liu, Zhoufu and Wang, Hongkai and Xiao, Xiyao and Xie, Yuqiang and Zhang, Wen and Huang, Yongkang and Chen, Yuxuan and Peng, Libiao and others},booktitle={Findings of the Association for Computational Linguistics: ACL 2025},pages={24898--24921},year={2025},}
EMNLP
A Group Fairness Lens for Large Language Models
Guanqun Bi, Lei Shen, Yuqiang Xie, and 3 more authors
In Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
We investigate group fairness in large language models and propose methods to evaluate and mitigate unfair behaviors.
@inproceedings{bi2025fairness,title={A Group Fairness Lens for Large Language Models},author={Bi, Guanqun and Shen, Lei and Xie, Yuqiang and Cao, Yanan and Zhu, Tiangang and He, Xiaodong},booktitle={Findings of the Association for Computational Linguistics: EMNLP 2025},year={2025},}
arXiv
Psi-Arena: Interactive Assessment and Optimization of LLM-based Psychological Counselors with Tripartite Feedback
Shijing Zhu, Zhuang Chen, Guanqun Bi, and 8 more authors
An interactive framework for assessing and optimizing LLM-based psychological counselors.
@article{zhu2025psi,title={Psi-Arena: Interactive Assessment and Optimization of LLM-based Psychological Counselors with Tripartite Feedback},author={Zhu, Shijing and Chen, Zhuang and Bi, Guanqun and Li, Binghang and Deng, Yaxi and Wan, Dazhen and Peng, Libiao and Xiao, Xiyao and Zhang, Rongsheng and Lv, Tangjie and others},journal={arXiv preprint arXiv:2505.03293},year={2025},}
AAAI
CharacterBench: Benchmarking Character Customization of Large Language Models
Jinfeng Zhou, Yongkang Huang, Bosi Wen, and 8 more authors
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025
A comprehensive benchmark for evaluating character customization capabilities of large language models.
@inproceedings{zhou2025characterbench,title={CharacterBench: Benchmarking Character Customization of Large Language Models},author={Zhou, Jinfeng and Huang, Yongkang and Wen, Bosi and Bi, Guanqun and Chen, Yuxuan and Ke, Pei and Chen, Zhuang and Xiao, Xiyao and Peng, Libiao and Tang, Kuntian and others},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},volume={39},number={24},pages={26101--26110},year={2025},}
AAAI
SocialSim: Towards Socialized Simulation of Emotional Support Conversation
Zhuang Chen, Yaru Cao, Guanqun Bi, and 6 more authors
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025
A framework for socialized simulation of emotional support conversations.
@inproceedings{chen2025socialsim,title={SocialSim: Towards Socialized Simulation of Emotional Support Conversation},author={Chen, Zhuang and Cao, Yaru and Bi, Guanqun and Wu, Jincenzi and Zhou, Jinfeng and Xiao, Xiyao and Chen, Si and Wang, Hongning and Huang, Minlie},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},volume={39},number={2},pages={1274--1282},year={2025},}
AAAI
SS-GEN: A Social Story Generation Framework with Large Language Models
Yi Feng, Mingyang Song, Jiaqi Wang, and 5 more authors
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025
A social story generation framework leveraging large language models.
@inproceedings{feng2025ssgen,title={SS-GEN: A Social Story Generation Framework with Large Language Models},author={Feng, Yi and Song, Mingyang and Wang, Jiaqi and Chen, Zhuang and Bi, Guanqun and Huang, Minlie and Jing, Liping and Yu, Jian},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},volume={39},number={2},pages={1300--1308},year={2025},}
2024
ACL
ToMBench: Benchmarking Theory of Mind in Large Language Models
Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, and 8 more authors
In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024
A comprehensive benchmark for evaluating Theory of Mind capabilities in large language models.
@inproceedings{chen2024tombench,title={ToMBench: Benchmarking Theory of Mind in Large Language Models},author={Chen, Zhuang and Wu, Jincenzi and Zhou, Jinfeng and Wen, Bosi and Bi, Guanqun and Jiang, Gongyao and Cao, Yaru and Hu, Mengting and Lai, Yunghwei and Xiong, Zexuan and others},booktitle={Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL)},pages={15959--15983},year={2024},}
EMNLP
CharacterGLM: Customizing Social Characters with Large Language Models
Jinfeng Zhou, Zhuang Chen, Dazhen Wan, and 8 more authors
In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP), 2024
A framework for customizing social characters using large language models.
@inproceedings{zhou2024characterglm,title={CharacterGLM: Customizing Social Characters with Large Language Models},author={Zhou, Jinfeng and Chen, Zhuang and Wan, Dazhen and Wen, Bosi and Song, Yi and Yu, Jifan and Huang, Yongkang and Ke, Pei and Bi, Guanqun and Peng, Libiao and others},booktitle={Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP)},pages={1457--1476},year={2024},}
NLPCC
Enhancing Emotional Support Conversation with Cognitive Chain-of-Thought Reasoning
Yaru Cao, Zhuang Chen, Guanqun Bi, and 5 more authors
In CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2024
Enhancing emotional support conversations through cognitive chain-of-thought reasoning.
@inproceedings{cao2024enhancing,title={Enhancing Emotional Support Conversation with Cognitive Chain-of-Thought Reasoning},author={Cao, Yaru and Chen, Zhuang and Bi, Guanqun and Feng, Yulin and Chen, Min and Wan, Fucheng and Huang, Minlie and Yu, Hongzhi},booktitle={CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC)},pages={175--187},year={2024},}
WSDM
Generative Models for Complex Logical Reasoning over Knowledge Graphs
Yu Liu, Yanan Cao, Shi Wang, and 2 more authors
In Proceedings of the 17th ACM International Conference on Web Search and Data Mining (WSDM), 2024
A generative approach for complex logical reasoning over knowledge graphs.
@inproceedings{liu2024generative,title={Generative Models for Complex Logical Reasoning over Knowledge Graphs},author={Liu, Yu and Cao, Yanan and Wang, Shi and Wang, Qingyue and Bi, Guanqun},booktitle={Proceedings of the 17th ACM International Conference on Web Search and Data Mining (WSDM)},pages={492--500},year={2024},}
2023
ACL
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation
Guanqun Bi, Lei Shen, Yanan Cao, and 3 more authors
In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023
We design a framework DiffusEmp based on conditional diffusion language model to unify the utilization of dialogue context and attribute-oriented control signals for empathetic response generation.
@inproceedings{bi2023diffusemp,title={DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation},author={Bi, Guanqun and Shen, Lei and Cao, Yanan and Chen, Meng and Xie, Yuqiang and He, Xiaodong},booktitle={Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL)},year={2023},}
ICASSP
SERI: SkEtching-Reasoning-Integrating Progressive Workflow for Empathetic Response Generation
Guanqun Bi, Yanan Cao, Piji Li, and 3 more authors
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
We propose a SkEtching-Reasoning-Integrating framework for empathetic response generation with multi-source information reasoning.
@inproceedings{bi2023seri,title={SERI: SkEtching-Reasoning-Integrating Progressive Workflow for Empathetic Response Generation},author={Bi, Guanqun and Cao, Yanan and Li, Piji and Xie, Yuqiang and Fang, Fang and Lin, Zheng},booktitle={IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},year={2023},}
2022
COLING
COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities
Yuqiang Xie, Yue Hu, Wei Peng, and 2 more authors
In Proceedings of the 29th International Conference on Computational Linguistics (COLING), 2022
A Cognitive Framework of Human Activity modeling language-based human activities via the relationship among needs, emotions, and actions.
@inproceedings{xie2022comma,title={COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities},author={Xie, Yuqiang and Hu, Yue and Peng, Wei and Bi, Guanqun and Xing, Luxi},booktitle={Proceedings of the 29th International Conference on Computational Linguistics (COLING)},year={2022},}
COLING
Psychology-guided Controllable Story Generation
Yuqiang Xie, Yue Hu, Yunpeng Li, and 3 more authors
In Proceedings of the 29th International Conference on Computational Linguistics (COLING), 2022
Psychology-guIded Controllable Story Generation System with local control and global planning.
@inproceedings{xie2022pics,title={Psychology-guided Controllable Story Generation},author={Xie, Yuqiang and Hu, Yue and Li, Yunpeng and Bi, Guanqun and Peng, Wei and Xing, Luxi},booktitle={Proceedings of the 29th International Conference on Computational Linguistics (COLING)},year={2022},}
AAAI
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View
Ren Li, Yanan Cao, Qiannan Zhu, and 4 more authors
In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022
Investigating how knowledge graph embedding models extrapolate to unseen data from a semantic evidence perspective.
@inproceedings{li2022segnn,title={How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View},author={Li, Ren and Cao, Yanan and Zhu, Qiannan and Bi, Guanqun and Fang, Fang and Liu, Yi and Li, Qian},booktitle={Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},year={2022},}
2021
ISCC
No News is an Island: Joint Heterogeneous Graph Network for News Classification
Zhezhou Kang, Yi Liu, Guanqun Bi, and 2 more authors
In IEEE Symposium on Computers and Communications (ISCC), 2021
A joint heterogeneous graph network approach for news classification.
@inproceedings{kang2021news,title={No News is an Island: Joint Heterogeneous Graph Network for News Classification},author={Kang, Zhezhou and Liu, Yi and Bi, Guanqun and Fang, Fang and Yin, Pengfei},booktitle={IEEE Symposium on Computers and Communications (ISCC)},year={2021},}
