Author

Ilija Subasic

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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

Preprint Nov 2026

Online Label-Free Gradient Matching for Continual Language Model Training

Language models in customer-facing products must be continually updated, since the data they serve shifts over time. As retraining on the full accumulated data is impractical, each update should instead run on a small set of examples carrying the training signal of all data seen so far. The strongest current methods bu...

Sajjad Pakdamansavoji, Mohammad Reza Rezaei, Ilija Subasic 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