BehaviorBench: Modeling Real-World User Decisions from Behavioral Traces

This paper introduces BehaviorBench, a new benchmark for evaluating personalized decision modeling from real-world behavioral traces. It reconstructs wallet-level decision histories from observed public prediction-market and on-chain records, organizing tasks into belief prediction and trade prediction.