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Verifiable Rewards for Calibrated Probabilistic Forecasting

arXiv cs.LG · 19h ago Cached

The paper proposes a verifiable label-free reward for training calibrated probabilistic forecasters using reinforcement learning, avoiding the calibration degradation that occurs when rewarding single outcomes. Applied to NFL win probability, a 7B model trained with this reward achieves calibration comparable to the betting market.

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@SportsCenter: Should the Cowboys consider trading up for a higher pick in the first round of the NFL draft?

X AI KOLs Timeline · 2026-04-21 Cached

A SportsCenter post asking whether the Dallas Cowboys should trade up for a higher first-round NFL draft pick; however, the provided content is an unrelated Marriott Bonvoy travel advertisement.

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@SportsCenter: The NFL Live crew compares draft prospect Jordyn Tyson to Odell Beckham Jr.

X AI KOLs Timeline · 2026-04-21 Cached

NFL Live analysts compare draft prospect Jordyn Tyson to Odell Beckham Jr.; however, the article body consists solely of Marriott Bonvoy promotional material.

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