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cs.CL2026
Prompt Sensitivity in Tool-Augmented Model Comparisons
Mateusz Modrzejewski, Tomasz Radzikowski
Language models are compared on question-answering benchmarks that pose each question in one wording, and a reworded question can change which of two models scores higher. We ask w…
cs.CL2026
Poolwise: Evaluating Reward Models for Selection across Prompts
Mateusz Modrzejewski, Tomasz Radzikowski
Reward models are used to select training data, but common benchmarks compare responses only within the same prompt. Selecting data across prompts also depends on how scores compar…