BehaviorBench: Modeling Real-World User Decisions from Behavioral Traces
Researchers introduce BehaviorBench, a benchmark dataset for evaluating AI systems that predict user financial decisions using real-world behavioral data from prediction markets and blockchain records. The benchmark contains over 1.4 million trade instances and 141,000 belief predictions across 2,000 wallets, enabling more accurate assessment of personalized decision-modeling systems compared to simulation-based approaches.