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Max Springer

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#natural language process... Preprint Aug 2026

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

This work introduces TCS-Bench, a benchmark for evaluating Large Language Models (LLMs) on research-level Theoretical Computer Science (TCS) proof generation, and benchmarks the verifier against human-expert proof judgements on a set of target statements and generated proofs pairs.

Vincent Cohen-Addad, Dimitris Paparas, Ernest van Wijland et al. · 3 citations
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

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