Inference-only RPM: Frozen LLM Ranks Candidates to Save Compute
anirudhg9119 · x · 2026-09-01
Introduces the inference-only Research Preference Model (RPM). A frozen LLM inspects candidate plans, code, and previously executed solutions, then ranks the candidates. No candidate needs to be executed first, making selection cheap. This transforms the hard forecasting problem of predicting exact scores into a preference problem: ranking which candidate is most worth executing next given the research history.
Related event: AI Research Preference Models Rank Candidate Ideas Before Burning GPU Time(6 posts)→
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