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BITS Pilani
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LLMs can self-correct reasoning errors mid-generation by simply watching their own residual stream for "phase shifts" and nudging the KV-cache, outperforming even prompted self-correction.
LLM judges can be subtly manipulated by framing the consequences of their decisions, leading to biased evaluations even when the content being judged remains constant.
LLM judges are far less reliable on individual examples than aggregate metrics suggest: up to 67% of documents show judgment inconsistencies, and some criteria like fluency are essentially unjudgeable.