Author

Ke-Mou Li

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#artificial intelligence Preprint Oct 2026

PACE: Provenance-Aware Capability Enforcement for Tool-Using LLM Agents

Tool-using large language model (LLM) agents turn generated text into real side effects, so poisoned tool metadata, retrieved pages, memory, and reusable skills can steer the next call. Vetting an artifact before admission does not settle this. A safe variant and a leaking variant can produce the same admission evidenc...

Feng-Peng Li, Qi-Zhou Wang, Yu-Ke Hu et al. · 0 citations

#artificial intelligence Review Sep 2026

CABAL: Multi-Agent Simulacra for Tracing the Effects of Collusive Bidding in Peer Review

Recent reports during the AAAI-27 review cycle highlight the risk of reviewers coordinating bids for reciprocal assignment advantage. Prior work treats bidding, reviewer assignment, and review manipulation as separate stages, leaving the lifecycle effects of collusive bidding unclear. Real-world analysis is further con...

Ji-Cheng Zhou, Ke-Mou Li, Kahim Wong et al. · 1 citation