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Max Springer

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Preprint Aug 2026

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

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.

Vincent Cohen-Addad, Dimitris Paparas, E. V. Wijland et al. · 1 citation
Jun 2026

Beyond the Library: An Agentic Framework for Autoformalizing Research Mathematics

This work introduces *Theo*, an agentic autoformalization framework powered by general coding LLMs, and successfully formalizes their main theorems and proofs and validate the generated formalizations with human experts.

Arshia Soltani Moakhar, Iman Gholami, Max Springer et al. · 2 citations