activity
20222026
most citedSocialSim: Towards Socialized Simulation of Emotional Support Conversation

5 citations · 23 across the 17 of their papers we have counts for

collaborators

17 papers

cs.AI2026

SkillEvolver: Skill Learning as a Meta-Skill

Genrui Zhang, Erle Zhu, Jinfeng Zhou +2

Agent skills today are static artifact: authored once -- by human curation or one-shot generation from parametric knowledge -- and then consumed unchanged, with no mechanism to imp…

cs.AI2026

You Live More Than Once: Towards Hierarchical Skill Meta-Evolving

Xujun Li, Kehan Zheng, Mingyuan Zhao +7

Test-time skill evolving is regarded as a new paradigm for enhancing deployed agentic systems. Existing works mainly focus on hard-coded skill evolving strategies or parametric lea…

cs.CL2025

Think Socially via Cognitive Reasoning

Jinfeng Zhou, Zheyu Chen, Shuai Wang +4

LLMs trained for logical reasoning excel at step-by-step deduction to reach verifiable answers. However, this paradigm is ill-suited for navigating social situations, which induce…

cs.CL2025★ 5 cited

SocialSim: Towards Socialized Simulation of Emotional Support Conversation

Zhuang Chen, Yaru Cao, Guanqun Bi +6

Emotional support conversation (ESC) helps reduce people's psychological stress and provide emotional value through interactive dialogues. Due to the high cost of crowdsourcing a l…

cs.AI2025

Beyond Nash Equilibrium: Bounded Rationality of LLMs and humans in Strategic Decision-making

Kehan Zheng, Jinfeng Zhou, Hongning Wang

Large language models are increasingly used in strategic decision-making settings, yet evidence shows that, like humans, they often deviate from full rationality. In this study, we…

cs.CL2025

SocialEval: Evaluating Social Intelligence of Large Language Models

Jinfeng Zhou, Yuxuan Chen, Yihan Shi +13

LLMs exhibit promising Social Intelligence (SI) in modeling human behavior, raising the need to evaluate LLMs' SI and their discrepancy with humans. SI equips humans with interpers…

cs.CL2025★ 1 cited

Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues

Jinfeng Zhou, Yuxuan Chen, Jianing Yin +9

Cognitive Restructuring (CR) is a psychotherapeutic process aimed at identifying and restructuring an individual's negative thoughts, arising from mental health challenges, into mo…

cs.CL2025

HPSS: Heuristic Prompting Strategy Search for LLM Evaluators

Bosi Wen, Pei Ke, Yufei Sun +6

Since the adoption of large language models (LLMs) for text evaluation has become increasingly prevalent in the field of natural language processing (NLP), a series of existing wor…

cs.CL2024

CharacterBench: Benchmarking Character Customization of Large Language Models

Jinfeng Zhou, Yongkang Huang, Bosi Wen +13

Character-based dialogue (aka role-playing) enables users to freely customize characters for interaction, which often relies on LLMs, raising the need to evaluate LLMs' character c…

cs.CL2024

Benchmarking Complex Instruction-Following with Multiple Constraints Composition

Bosi Wen, Pei Ke, Xiaotao Gu +11

Instruction following is one of the fundamental capabilities of large language models (LLMs). As the ability of LLMs is constantly improving, they have been increasingly applied to…

cs.CL2024★ 4 cited

ToMBench: Benchmarking Theory of Mind in Large Language Models

Zhuang Chen, Jincenzi Wu, Jinfeng Zhou +8

Theory of Mind (ToM) is the cognitive capability to perceive and ascribe mental states to oneself and others. Recent research has sparked a debate over whether large language model…

cs.CL2024★ 2 cited

EmoBench: Evaluating the Emotional Intelligence of Large Language Models

Sahand Sabour, Siyang Liu, Zheyuan Zhang +7

Recent advances in Large Language Models (LLMs) have highlighted the need for robust, comprehensive, and challenging benchmarks. Yet, research on evaluating their Emotional Intelli…

cs.CL2023★ 4 cited

CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Jinfeng Zhou, Zhuang Chen, Dazhen Wan +14

In this paper, we present CharacterGLM, a series of models built upon ChatGLM, with model sizes ranging from 6B to 66B parameters. Our CharacterGLM is designed for generating Chara…

cs.CL2023★ 3 cited

Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach

Jinfeng Zhou, Zhuang Chen, Bo Wang +1

Emotional support conversation (ESC) aims to provide emotional support (ES) to improve one's mental state. Existing works stay at fitting grounded responses and responding strategi…

cs.CL2022

Aligning Recommendation and Conversation via Dual Imitation

Jinfeng Zhou, Bo Wang, Minlie Huang +4

Human conversations of recommendation naturally involve the shift of interests which can align the recommendation actions and conversation process to make accurate recommendations…

cs.CL2022★ 1 cited

CDConv: A Benchmark for Contradiction Detection in Chinese Conversations

Chujie Zheng, Jinfeng Zhou, Yinhe Zheng +6

Dialogue contradiction is a critical issue in open-domain dialogue systems. The contextualization nature of conversations makes dialogue contradiction detection rather challenging.…

cs.AI2022★ 3 cited

CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation

Jinfeng Zhou, Chujie Zheng, Bo Wang +2

Empathetic conversation is psychologically supposed to be the result of conscious alignment and interaction between the cognition and affection of empathy. However, existing empath…