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20232026
most citedEnhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learning

1 citations · 1 across the 9 of their papers we have counts for

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cs.CL2026

Agentopia: Long-Term Life Simulation and Learning in Agent Societies

Xintao Wang, Sirui Zheng, Hongqiu Wu +10

Humans learn from social life. Simulating this process with LLM-powered agents represents a promising research direction, raising a natural question: whether LLMs can learn from su…

cs.CL2026

HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive Patterns

Xintao Wang, Jian Yang, Weiyuan Li +8

Large Language Models (LLMs) have demonstrated remarkable capabilities in reasoning and generation, serving as the foundation for advanced persona simulation and Role-Playing Langu…

cs.CL2025

EulerESG: Automating ESG Disclosure Analysis with LLMs

Yi Ding, Xushuo Tang, Zhengyi Yang +12

Environmental, Social, and Governance (ESG) reports have become central to how companies communicate climate risk, social impact, and governance practices, yet they are still publi…

cs.CL2025

Curse of Knowledge: When Complex Evaluation Context Benefits yet Biases LLM Judges

Weiyuan Li, Xintao Wang, Siyu Yuan +5

As large language models (LLMs) grow more capable, they face increasingly diverse and complex tasks, making reliable evaluation challenging. The paradigm of LLMs as judges has emer…

cs.CL20251 cited

Enhancing Persona Consistency for LLMs' Role-Playing using Persona-Aware Contrastive Learning

Ke Ji, Yixin Lian, Linxu Li +3

In recent years, large language models (LLMs) have achieved breakthrough progress in many dialogue generation tasks. However, their lack of emotion and fine-grained role awareness…