Grader modeling hypothesis: LLMs output expected reward estimates
FioraStarlight · x · 2026-09-01
Proposes a broad version of the grader modeling hypothesis as near-tautology: post-trained LLMs definitionally output expected reward estimates for each possible next token, conditioned on context.
Related event: Generalized Rater Hypothesis: LLM Outputs Are Reward-Expectation Estimates(2 posts)→
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