FALSIFYBENCH: Evaluating Inductive Reasoning in LLMs with Rule Discovery Games 事件

FALSIFYBENCH: Evaluating Inductive Reasoning in LLMs with Rule Discovery Games arXiv:2606.04751v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed as autonomous agents in scientific tasks. Yet whether these systems can effectively engage in forms of inductive reasoning relevant to scientific discovery remains an open question. In this work, we introduce FALSIFYBENCH, an evaluation framework for hypothesis-driven reasoning inspired by the classic Wason 2-4-6 ta