2 papers
cs.MA2026
ROAR: Benchmarking LMM Agents under Real-Time Constraints in Multiplayer Action-Shooter Games
Dawei Wang, Di Zhao, Jianran Yu +8
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-base…
cs.CL2026
CARE: Privacy-Compliant Agentic Reasoning with Evidence Discordance
Haochen Liu, Weien Li, Rui Song +6
Large language model (LLM) systems are increasingly used to support high-stakes decision-making, but they typically perform worse when the available evidence is internally inconsis…