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cs.LG2026
Foresight Learning for SEC Risk Prediction
Benjamin Turtel, Paul Wilczewski, Danny Franklin +1
Risk disclosures in SEC filings describe potential adverse events but rarely quantify their likelihood, limiting their usefulness for probabilistic analysis. A central obstacle is…
cs.LG2026
Future-as-Label: Scalable Supervision from Real-World Outcomes
Benjamin Turtel, Paul Wilczewski, Danny Franklin +1
Time creates free supervision: forecasts about real-world events resolve to verifiable outcomes. The passage of time provides labels that require no annotation. To exploit this str…
cs.LG2025
Outcome-based Reinforcement Learning to Predict the Future
Benjamin Turtel, Danny Franklin, Kris Skotheim +2
Reinforcement Learning with Verifiable Rewards (RLVR) has been an effective approach for improving Large Language Models' reasoning in domains such as coding and mathematics. Here,…