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Xiao-Yang Liu

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Preprint Oct 2026

ROAR: Benchmarking LMM Agents under Real-Time Constraints in Multiplayer Action-Shooter Games

Large multimodal models (LMMs) are increasingly deployed as agents that perceive, reason, and act in interactive multi-agent environments. Yet most existing benchmarks for LMM-based agents in multi-agent settings remain turn-based: the environment and other agents pause while an agent performs inference. Such protocols...

Da-Wei Wang, Di Zhao, Jian-Ran Yu et al. · 0 citations

CARE: Privacy-Compliant Agentic Reasoning with Evidence Discordance

CARE is proposed: a multi-stage privacy-compliant agentic reasoning framework in which a proprietary LLM provides guidance by generating structured categories and transitions without accessing sensitive patient data, while a local LLM uses these categories and transitions to support evidence acquisition and final decis...

Hao Liu, Wei-En Li, Rui Song et al. · 0 citations

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