arxiv
PublishedApril 24, 2026 at 4:00 AM
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MathDuels: Evaluating LLMs as Problem Posers and Solvers
Publisher summary· verbatim
arXiv:2604.21916v1 Announce Type: new Abstract: As frontier language models attain near-ceiling performance on static mathematical benchmarks, existing evaluations are increasingly unable to differentiate model capabilities, largely because they cast models solely as solvers of fixed problem sets. W
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Originally published on arxiv ↗