Computer Science > Artificial Intelligence
[Submitted on 15 Jul 2024 (v1), last revised 3 Nov 2024 (this version, v2)]
Title:PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition
View PDFAbstract:We present PutnamBench, a new multi-language benchmark for evaluating the ability of neural theorem-provers to solve competition mathematics problems. PutnamBench consists of 1692 hand-constructed formalizations of 640 theorems sourced from the William Lowell Putnam Mathematical Competition, the premier undergraduate-level mathematics competition in North America. All the problems have formalizations in Lean 4 and Isabelle; a substantial subset also has Coq formalizations. PutnamBench requires significant problem-solving ability and proficiency in a broad range of topics taught in undergraduate mathematics courses. We use PutnamBench to evaluate several established neural and symbolic theorem-provers. These approaches can only solve a handful of the PutnamBench problems, establishing the benchmark as a difficult open challenge for research on neural theorem-proving. PutnamBench is available at this https URL.
Submission history
From: George Tsoukalas [view email][v1] Mon, 15 Jul 2024 19:57:15 UTC (65 KB)
[v2] Sun, 3 Nov 2024 17:14:37 UTC (66 KB)
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