Jinghan Tan

StrategyBench: Evaluating Explicit Strategy Induction in Large Language Models

This work proposes StrategyBench, which selects strategy-inducible tasks from BIG-Bench, constructs reference strategies, and defines evaluation metrics along two dimensions: strategy quality and downstream utility, and experiments show that explicit strategy utility differs substantially across task categories and depends on both strategy generation and execution conditions.