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  3. When LLM Judge Scores Look Good but Best-of-N Decisions Fail
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When LLM Judge Scores Look Good but Best-of-N Decisions Fail

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Evidence fresh

Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: unverified

Freshness: fresh

Source paper: When LLM Judge Scores Look Good but Best-of-N Decisions Fail

PDF: https://arxiv.org/pdf/2603.12520v1

Source count: 0

Coverage: 17%

Last proof check: 2026-04-02T02:30:40.136Z

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When LLM Judge Scores Look Good but Best-of-N Decisions Fail

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Last verification: 2026-04-02T02:30:40.136Z

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Coverage: 17%

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Prior Work
Mediocrity is the key for LLM as a Judge Anchor Selection
Score 4.0stable
Higher Viability
Who can we trust? LLM-as-a-jury for Comparative Assessment
Score 6.0up
Higher Viability
Evaluating the Reliability and Fidelity of Automated Judgment Systems of Large Language Models
Score 7.0up
Higher Viability
Towards Provably Unbiased LLM Judges via Bias-Bounded Evaluation
Score 7.0up
Higher Viability
Evaluative Fingerprints: Stable and Systematic Differences in LLM Evaluator Behavior
Score 6.0up
Higher Viability
Toward Robust LLM-Based Judges: Taxonomic Bias Evaluation and Debiasing Optimization
Score 7.0up
Higher Viability
LLM Essay Scoring Under Holistic and Analytic Rubrics: Prompt Effects and Bias
Score 7.0up
Higher Viability
Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
Score 5.0up

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