SoulChat: Improving LLMs' Empathy, Listening, and Comfort Abilities through Fine-tuning with Multi-turn Empathy Conversations
On the map: LLM reasoning → Clinical and biomedical applications
Abstract (arXiv)
Large language models (LLMs) have been widely applied in various fields due to their excellent capability for memorizing knowledge and chain of thought (CoT). When these language models are applied in the field of psychological counseling, they often rush to provide universal advice. However, when users seek psychological support, they need to gain empathy, trust, understanding and comfort, rather than just reasonable advice. To this end, we constructed a multi-turn empathetic conversation dataset of more than 2 million samples, in which the input is the multi-turn conversation context, and the target is empathetic responses that cover expressions such as questioning, comfort, recognition, listening, trust, emotional support, etc. Experiments have shown that the empathy ability of LLMs can be significantly enhanced when finetuning by using multi-turn dialogue history and responses that are closer to the expression of a psychological consultant.
Key facts. Cited by 109 papers in the map (data through 7 Oct 2026). Placed in Clinical and biomedical applications, one of 17 directions in LLM reasoning. Builds on 10 of its 20 references that are in the map. First posted on arXiv 1 Nov 2023.
Builds on
10 of 20 references.
References · 10
- 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
- 2022Training language models to follow instructions with human feedbackcited by 15,712
- 2021GLM: General Language Model Pretraining with Autoregressive Blank Infillingcited by 1,026
- 2022GLM-130B: An Open Bilingual Pre-trained Modelcited by 837
- 2021Towards Emotional Support Dialog Systemscited by 294
- 2021PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Supportcited by 92
- 2022MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversationcited by 84
- 2022Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planningcited by 59
- 2022Control Globally, Understand Locally: A Global-to-Local Hierarchical Graph Network for Emotional Support Conversationcited by 56
- 2022FADO: Feedback-Aware Double COntrolling Network for Emotional Support Conversationcited by 18
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Citing papers per year: 2023: 2; 2024: 19; 2025: 44; 2026: 44.
109 papers.
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50 most cited of 109 All 109 (JSON)
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- 2025DecoupledESC: Enhancing Emotional Support Generation via Strategy-Response Decoupled Preference Optimization22 May 2025
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- 2025KokoroChat: A Japanese Psychological Counseling Dialogue Dataset Collected via Role-Playing by Trained Counselorscited by 13
- 2025Mapping Caregiver Needs to AI Chatbot Design: Strengths and Gaps in Mental Health Support for Alzheimer's and Dementia Caregiverscited by 13
12 most cited of 72 All 72 (JSON)
- 2026Right Words, Wrong Moment: A Clinician-Grounded Analysis of Distress in 19,930 Conversations between Young People and ChatGPT28 Sep 2026
- 2026From Pattern Recognizers to Personalized Companions: A Survey of Large Language Models in Mental Health21 Sep 2026
- 2026Steering the Compass: Aligning Dynamic Psychological Counseling Conversations with Cognitive Behavioral Therapy Strategies17 Sep 2026
- 2026CompanionBench: A Theory-Anchored, Real-World-Grounded Benchmark for AI Emotional Companionship3 Aug 2026
- 2026Ekova: A Personality-Support Agent for Self-Discovery Dialogue1 Aug 2026
- 2026EmoTrace: An Emotion Trajectory-Centered Framework for Psychological Support Dialogue Generation26 Jul 2026
- 2026When AI Says "I have been in similar situations": Synthetic Lived Experience in Peer-Like Caregiver Support16 Jun 2026
- 2026From Empathy to Personalized Empathy: Adapting Empathetic Strategies to Individual Users30 May 2026
- 2026Psy-Chronicle:A Structured Pipeline for Synthesizing Long-Horizon Campus Psychological Counseling Dialogues21 May 2026
- 2026PSI-Bench: Interpretable and Clinically Meaningful Evaluation of Depression Patient Simulators28 Apr 2026
- 2026A Survey on LLM-based Conversational User Simulation27 Apr 2026
- 2026Graph2Counsel: Clinically Grounded Synthetic Counseling Dialogue Generation from Client Psychological Graphs22 Apr 2026
12 newest of 72 All 72 (JSON)
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