Papers by Justin Cheok

1 papers
The Confident Liar: Diagnosing Multi-Agent Debate with Log-Probabilities and LLM-as-Judge (2026.acl-srw)

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Challenge: Multi-agent debate systems are typically evaluated only on whether the final answer is correct, overlooking the quality of the intermediatereasoning that debate produces.
Approach: They propose a framework that pairs a two-agent debate architecture with anLLM-as-judge that scores each agent’s reasoning along instructionfollowing, justification quality, and evidence grounding, together with acritical-failure flag.
Outcome: The proposed framework pairs a two-agent debate architecture with anLLM-as-judge that scores each agent’s reasoning along instructionfollowing, justification quality, and evidence grounding, together with acritical-failure flag.

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