3 papers
cs.MA2026
BRA-Audit: Budgeted Runtime Auditing for LLM Multi-Agent Systems via Cumulative-Exposure Audit-Point Placement
Kaixiang Wang, Yidan Lin, Jiong Lou +1
LLM-based multi-agent systems (LLM-MAS) solve complex tasks through specialized collaboration, but inter-agent dependencies can propagate hallucinated or malicious outputs into sys…
cs.LG2026
Stop When Memory Suffices: Evidence-Conditioned Progressive Execution for LLM Agents
Yidan Lin, Kaixiang Wang, Jiong Lou +1
The continued development of LLMs toward persistent and adaptive intelligence increasingly requires long-term memory mechanisms that preserve and reuse information across interacti…
cs.AI2026
E-mem: Multi-agent based Episodic Context Reconstruction for LLM Agent Memory
Kaixiang Wang, Yidan Lin, Jiong Lou +3
The evolution of Large Language Model (LLM) agents towards System~2 reasoning, characterized by deliberative, high-precision problem-solving, requires maintaining rigorous logical…