BehaviorBench: Modeling Real-World User Decisions from Behavioral Traces 事件

BehaviorBench: Modeling Real-World User Decisions from Behavioral Traces arXiv:2606.02798v1 Announce Type: new Abstract: Many decision-support settings require systems that adapt to individual users, but evaluation data for this problem remain limited. Existing benchmarks for user understanding often rely on simulated users or model-generated behavior, even though recent work cautions that model-based simulations can diverge systematically from human behavior. We introduce \textsc{BehaviorBench