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A focused feed for RLHF, preference data, rater protocols, agent evaluation, and LLM-as-judge research. Every paper includes structured metadata for quick triage.

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Match reason: Matched by broad semantic/index fallback.

Score: 28% Sparse protocol signal Freshness: Warm Status: Ready
General
  • Where does the novelty a base language model produces with no task come from, and what can an LLM judge of a long stream actually see?
  • A fixed rotation of injected sentences makes the model replay its own earlier segments (65-80% of post-interruption windows at periods 150-300 are mostly verbatim replay), and the judge scores the replay as surprise and, above all, as…
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