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20242026
most citedBIG5-CHAT: Shaping LLM Personalities Through Training on Human-Grounded Data

4 citations · 12 across the 16 of their papers we have counts for

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5 papers · 1 filter

cs.CY2026

Public Perceptions and Acceptance of Socially Intelligent AI Agents

Leena Mathur, Jenny T. Liang, Vasudha Varadarajan +6

AI researchers have been advancing socially intelligent AI agents (Social-AI) across embodiments, from chatbots to physical robots. As Social-AI agents move from labs into everyday…

cs.MA2026

SOTOPIA-TOM: Evaluating Privacy and Information Management in Multi-Agent Interaction with Theory of Mind

Yashwanth YS, Ruichen Wang, Shihua Zeng +4

As LLM-based agents are increasingly interacting in multi-party settings, they need to properly handle information asymmetry, i.e., knowing when and to whom to disclose information…

cs.CL2026

On Safety Risks in Experience-Driven Self-Evolving Agents

Weixiang Zhao, Yichen Zhang, Yingshuo Wang +8

Experience-driven self-evolution has emerged as a promising paradigm for improving the autonomy of large language model agents, yet its reliance on self-curated experience introduc…

cs.CL2026

Imperfectly Cooperative Human-AI Interactions: Comparing the Impacts of Human and AI Attributes in Simulated and User Studies

Myke C. Cohen, Mingqian Zheng, Neel Bhandari +6

AI design characteristics and human personality traits each impact the quality and outcomes of human-AI interactions. However, their relative and joint impacts are underexplored in…

cs.AI2026

GoodPoint: Learning Constructive Scientific Paper Feedback from Author Responses

Jimin Mun, Chani Jung, Xuhui Zhou +2

While LLMs hold significant potential to transform scientific research, we advocate for their use to augment and empower researchers rather than to automate research without human…