Publications

2026

1. ACL

   

   S^4: Operationalizing Speech Act Theory for Strategic Semi-Structured Psychiatric Interview

   Guanqun Bi, Zhoufu Liu, Zhuang Chen, Dazhen Wan, Xiyao Xiao, and 1 more author

   In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL), 2026

   🎤 Oral Abs Bib

   Oral Presentation

   We operationalize Speech Act Theory to design strategic semi-structured psychiatric interview agents, enabling systematic and clinically-grounded mental health assessment.

   @inproceedings{bi2026s4,
     title = {S^{4}: Operationalizing Speech Act Theory for Strategic Semi-Structured Psychiatric Interview},
     author = {Bi, Guanqun and Liu, Zhoufu and Chen, Zhuang and Wan, Dazhen and Xiao, Xiyao and Huang, Minlie},
     booktitle = {Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL)},
     year = {2026},
   }

2. ACL

   

   PsychePass: Calibrating LLM Therapeutic Competence via Trajectory-Anchored Tournaments

   Zhuang Chen, Dazhen Wan, Zhangkai Zheng, Guanqun Bi^†, Xiyao Xiao, and 2 more authors

   In Findings of the Association for Computational Linguistics: ACL 2026, 2026

   Abs arXiv Bib

   PsychePass calibrates LLM therapeutic competence through trajectory-anchored tournament evaluation, providing reliable assessment of AI counseling systems.

   @inproceedings{chen2026psychepass,
     title = {PsychePass: Calibrating LLM Therapeutic Competence via Trajectory-Anchored Tournaments},
     author = {Chen, Zhuang and Wan, Dazhen and Zheng, Zhangkai and Bi, Guanqun and Xiao, Xiyao and Li, Binghang and Huang, Minlie},
     booktitle = {Findings of the Association for Computational Linguistics: ACL 2026},
     year = {2026},
   }

3. AAAI

   

   Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning

   Zhuang Chen, Guanqun Bi^†, Wen Zhang, Jiawei Hu, Aoyun Wang, and 3 more authors

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2026

   Abs arXiv Bib

   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},
   }

4. AAAI

   

   Ψ-Arena: Interactive Assessment and Optimization of LLM-based Psychological Counselors with Tripartite Feedback

   Shijing Zhu, Zhuang Chen, Guanqun Bi, Binghang Li, Yaxi Deng, and 8 more authors

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2026

   Abs arXiv Bib

   An interactive framework for assessing and optimizing LLM-based psychological counselors using tripartite feedback from clients, counselors, and experts.

   @inproceedings{zhu2026psiArena,
     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 Hu, Zhipeng and Li, FangFang and Huang, Minlie},
     booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)},
     year = {2026},
   }

2025

1. ACL

   

   MAGI: Multi-Agent Guided Interview for Psychiatric Assessment

   Guanqun Bi, Zhuang Chen, Zhoufu Liu, Hongkai Wang, Xiyao Xiao, and 6 more authors

   In Findings of the Association for Computational Linguistics: ACL 2025, 2025

   Abs arXiv Bib

   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},
   }

2. EMNLP

   

   A Group Fairness Lens for Large Language Models

   Guanqun Bi, Lei Shen, Yuqiang Xie, Yanan Cao, Tiangang Zhu, and 1 more author

   In Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

   Abs arXiv Bib

   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},
   }

3. AAAI

   

   CharacterBench: Benchmarking Character Customization of Large Language Models

   Jinfeng Zhou, Yongkang Huang, Bosi Wen, Guanqun Bi, Yuxuan Chen, and 6 more authors

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025

   Abs arXiv Bib

   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},
   }

4. AAAI

   

   SocialSim: Towards Socialized Simulation of Emotional Support Conversation

   Zhuang Chen, Yaru Cao, Guanqun Bi^†, Jincenzi Wu, Jinfeng Zhou, and 4 more authors

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025

   Abs arXiv Bib

   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},
   }

5. AAAI

   

   SS-GEN: A Social Story Generation Framework with Large Language Models

   Yi Feng, Mingyang Song, Jiaqi Wang, Zhuang Chen, Guanqun Bi, and 3 more authors

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2025

   Abs arXiv Bib

   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

1. ACL

   

   ToMBench: Benchmarking Theory of Mind in Large Language Models

   Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, Bosi Wen, Guanqun Bi, and 6 more authors

   In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024

   Abs arXiv Bib

   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},
   }

2. EMNLP

   

   CharacterGLM: Customizing Social Characters with Large Language Models

   Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, and 6 more authors

   In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track (EMNLP), 2024

   Abs Bib HTML

   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},
   }

3. NLPCC

   

   Enhancing Emotional Support Conversation with Cognitive Chain-of-Thought Reasoning

   Yaru Cao, Zhuang Chen, Guanqun Bi^*, Yulin Feng, Min Chen, and 3 more authors

   In CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2024

   Abs Bib HTML

   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},
   }

4. WSDM

   

   Generative Models for Complex Logical Reasoning over Knowledge Graphs

   Yu Liu, Yanan Cao, Shi Wang, Qingyue Wang, and Guanqun Bi

   In Proceedings of the 17th ACM International Conference on Web Search and Data Mining (WSDM), 2024

   Abs Bib PDF

   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

1. ACL

   

   DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation

   Guanqun Bi, Lei Shen, Yanan Cao, Meng Chen, Yuqiang Xie, and 1 more author

   In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023

   🎤 Oral Abs arXiv Bib

   Oral Presentation

   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},
   }

2. ICASSP

   

   SERI: SkEtching-Reasoning-Integrating Progressive Workflow for Empathetic Response Generation

   Guanqun Bi, Yanan Cao, Piji Li, Yuqiang Xie, Fang Fang, and 1 more author

   In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

   Abs Bib

   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

1. COLING

   

   COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities

   Yuqiang Xie, Yue Hu, Wei Peng, Guanqun Bi, and Luxi Xing

   In Proceedings of the 29th International Conference on Computational Linguistics (COLING), 2022

   Abs Bib PDF

   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},
   }

2. COLING

   

   Psychology-guided Controllable Story Generation

   Yuqiang Xie, Yue Hu, Yunpeng Li, Guanqun Bi, Wei Peng, and 1 more author

   In Proceedings of the 29th International Conference on Computational Linguistics (COLING), 2022

   Abs Bib PDF

   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},
   }

3. AAAI

   

   How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View

   Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, and 2 more authors

   In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022

   Abs arXiv Bib

   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

1. ISCC

   

   No News is an Island: Joint Heterogeneous Graph Network for News Classification

   Zhezhou Kang, Yi Liu, Guanqun Bi, Fang Fang, and Pengfei Yin

   In IEEE Symposium on Computers and Communications (ISCC), 2021

   Abs Bib HTML

   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},
   }