Author

Ji-Cheng Zhou

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#natural language process... Preprint Oct 2026

EASE: Entropy-Adaptive Distribution Shaping for Evading AI-generated Text Detectors

EASE (Entropy-Adaptive Distribution Shaping for Evasion), a training-free and detector-agnostic framework for evading AIGT detectors that computes predictive entropy directly from the source LLM's next-token distribution and uses it to adapt both logit perturbation and sampling temperature, without detector feedback or...

Ji-Cheng Zhou, Kahim Wong, Jia-Long Wang et al. · 0 citations

#artificial intelligence Review Sep 2026

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

Alg is introduced, an end-to-end multi-agent simulacra framework for studying reviewer assignment integrity by holding the conference environment fixed and configuring LLM-driven reviewer agents with honest or collusive policies, and an affinity-guided collusive bidding strategy that uses mutual reviewer-paper affiniti...

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