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#artificial intelligence Preprint Oct 2026

JockeyBench: Evaluating LLM Agents on Horse-Racing Decision-Making

Repeated event forecasting requires extracting predictive signals from noisy evidence and evaluating their value across successive decisions. We introduce JockeyBench, a benchmark and evaluation protocol that studies this problem through historical Japanese horse racing. The protocol combines time-gated evidence, price...

Zhong-Wei Xie, Xing-Su Li, Jing Yu et al. · 0 citations

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