Author

Sajjad Pakdamansavoji

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Preprint Oct 2026

Prompt Lottery in LLM-as-a-Judge: Measuring and Mitigating Sensitivity to Syntactic Rephrasing

It is shown that multi-prompt aggregation substantially improves robustness by emphasizing judgments that remain consistent across prompt variants, and it is shown that multi-prompt aggregation substantially improves robustness by emphasizing judgments that remain consistent across prompt variants.

Ilija Subasic, Brett Levert, Andrew Rabinovich et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Prompt Lottery in LLM-as-a-Judge: Measuring and Mitigating Sensitivity to Syntactic Rephrasing

LLM-as-a-Judge has become a standard for evaluating large language models, yet most approaches implicitly assume that a single judge prompt functions as a stable evaluation instrument. Prior work has primarily explored deliberate prompt modifications such as scoring rubrics, role descriptions, or chain-of-thought reaso...

Ilija Subasic, Brett Levert, Andrew Rabinovich et al. · 0 citations