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arXiv — NLP / Computation & Language · · 3 min read

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

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Computer Science > Computation and Language

arXiv:2608.09538 (cs)
[Submitted on 10 Aug 2026]

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

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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.
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2608.09538 [cs.CL]
  (or arXiv:2608.09538v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2608.09538
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Vincent Cohen-Addad [view email]
[v1] Mon, 10 Aug 2026 12:36:16 UTC (162 KB)
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