Preference-based trajectory evaluation reduces tied comparisons from roughly 75% to 35% across agentic benchmarks by using temporal preferences over progress and return profiles.
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2026 2verdicts
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Using a 1PL IRT model on real cultural questions across 13 locales, the study identifies a local-language knowledge-access advantage masked by lower proficiency in raw accuracy.
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Offline Preference-Based Trajectory Evaluation
Preference-based trajectory evaluation reduces tied comparisons from roughly 75% to 35% across agentic benchmarks by using temporal preferences over progress and return profiles.
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The Masked Advantage: Uncovering Local-Language Access to Cultural Knowledge in LLMs
Using a 1PL IRT model on real cultural questions across 13 locales, the study identifies a local-language knowledge-access advantage masked by lower proficiency in raw accuracy.