collaborators

18 papers

cs.CL2026

Social Gym and SPaRTan: Benchmarking and Improving LLM Social Reasoning via Multi-Agent Game Tournaments

Keyu He, Xuhui Zhou, Maarten Sap

LLM agents are increasingly deployed in multi-agent social settings where they must cooperate, negotiate, and adapt to other agents. Measuring and improving these social skills is…

cs.CL2026

OdysSim: Building Foundation Models for Human Behavior Simulation

Xuhui Zhou, Weiwei Sun, Weihua Du +6

Large language models are increasingly deployed as human simulators for interactive evaluation and social simulation. Yet helpfulness-driven post-training pulls them toward a homog…

cs.CL2026

Ouvia: A User-centered Framework for Measuring Usability of Speech Translation in Real-World Communication Scenarios

Giuseppe Attanasio, Beatrice Savoldi, Daniel Chechelnitsky +4

Speech translation (ST) is increasingly adopted in user applications, yet its evaluation largely focuses on decontextualized testbeds and holistic quality, rather than end users' c…

cs.MA2026

SOTOPIA-TOM: Evaluating 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

Useless but Safe? Benchmarking Utility Recovery with User Intent Clarification in Multi-Turn Conversations

Mingqian Zheng, Malia Morgan, Liwei Jiang +2

Current LLM safety alignment techniques improve model robustness against adversarial attacks, but overlook whether and how LLMs can recover helpfulness when benign users clarify th…

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…