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Benchmark Roundup

Type
collection
Venue
Lemmata (Substack)
Year
2026
Source
web
Access
free
Language
English
Added
2026-07-17T20:18:03.689375+00:00
Verified
2026-07-17T20:18:03.689375+00:00

Summary

Benchmark Roundup is a Substack blog post by Greg Burnham on the Lemmata newsletter that provides light reviews of interesting AI benchmarks. The inaugural post covers three benchmarks: TPBench (57 theoretical physics problems across 5 difficulty levels), EnigmaEval (multi-modal puzzles from the creators of Humanity's Last Exam), and PutnamBench (formalizations of Putnam math competition problems). The author plans occasional posts to keep readers informed about new benchmarks beyond in-depth standalone analyses.

Keywords

benchmarks evaluation math physics puzzles blog review

Topics

AI Evaluation / Benchmarks

Research notes

  • This is a blog post/collection, not a dataset itself. It reviews benchmarks including TPBench (theoretical physics), EnigmaEval (puzzles), and PutnamBench (Putnam formalizations). The Lemmata newsletter also covers math model evaluations and competition results.