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cs.CL2026
Optimizing the Cost-Quality Tradeoff of Agentic Theorem Provers in Lean
Kári Rögnvaldsson, Chenhao Sun, Jasper Dekoninck +1
Large language models (LLMs) are increasingly used in workflows for generating formal proofs in Lean. These workflows often decompose problems into smaller lemmas, sample many proo…
cs.CL2026
Beyond Benchmarks: MathArena as an Evaluation Platform for Mathematics with LLMs
Jasper Dekoninck, Nikola JovanoviÄ, Tim Gehrunger +4
Large language models (LLMs) are becoming increasingly capable mathematical collaborators, but static benchmarks are no longer sufficient for evaluating progress: they are often na…