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TopicsAI Debate LLM-as-a-Judge Large language models

Some weaker LLM judges verify critic claims less in debate than in consultancy.

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https://arxiv.org/pdf/2605.27483 Untraced · nothing upstream recorded

Both non-responder pairings verify less once a critic is in the transcript: gpt-oss falls from 67–82% across the two consultancy formats to 16–31% across the two debate formats, and weak Qwen falls from 61–67% to 25–53%. Their null results are failures to use the signal, not failures to receive it.

https://arxiv.org/pdf/2605.27483extraction 0.65

§4.2; behavior review of judge transcripts

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