3 papers
cs.LG2026
Forecasting Supply Chain Disruptions with Foresight Learning
Benjamin Turtel, Paul Wilczewski, Kris Skotheim
Anticipating supply chain disruptions before they materialize is a core challenge for firms and policymakers alike. A key difficulty is learning to reason reliably about infrequent…
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.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,…