arXiv: cs.AI preprintsInternational11 November 2026
StakeBench: Evaluating Language Understanding Grounded in Market Commitment
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arXiv:2605.26074v2 Announce Type: replace-cross Abstract: Existing financial NLP benchmarks often rely on labels supplied by outside observers, measuring how language is perceived rather than what speakers have committed to in the market. We introduce StakeBench, an evaluation framework for language understanding grounded in market commitment. StakeBench links 560,876 comments from 2,261 resolved markets to verified position, action, and market-odds records across Polymarket and Manifold. Supervision is derived from observable market behavior. Position sides, post-comment trading actions, and
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