TCS-BENCH: Benchmarking State-of-the-Art Generative AI Theoretical Computer Science Research Ability

Abstract:We introduce TCS-Bench, a benchmark for evaluating Large Language Models (LLMs) on research-level Theoretical Computer Science (TCS) proof generation. TCS-Bench consists of theorem-proving tasks from papers published at top theoretical computer science venues (STOC, FOCS, and SODA). Each task provides the necessary context to derive a self-contained proof for a target result. We evaluate state-of-the-art models on this benchmark. We verify the correctness of generated proofs via a verification agent, and further benchmark the verifier against human-expert proof judgements on a set of target statements and generated proofs pairs. Our reference verifier achieves over 90% accuracy on the expert labeled set.

Computation and Language (cs.CL); Artificial Intelligence (cs.AI)

arXiv:2608.09538 [cs.CL]

(or arXiv:2608.09538v3 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2608.09538 Focus to learn more arXiv-issued DOI via DataCite

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