newsReddit r/MachineLearningTrust 52 · CommunityPublished 20d agoLive · 20d ago

We compared different LLMs on IMO 2026 [R]

There are a few reasons why problems from International Mathematical Olympiad function as a good benchmark for LLMs: - The problems are new, not included in the training data of any model - Hard math problems are quite a good proxy for general intelligence capability - These are complex multi-step tasks that can benefit from orchestration / harness engineering Results: Frontier models (sol and fable) were able to get perfect /

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

PossiblePossibly related (embedding) · 60%Evaluate a model properly →
PossiblePossibly related (embedding) · 51%AdvancedMathBench: A Benchmark Suite for Advanced Mathematical Proof Generation and Verification →
PossiblePossibly related (embedding) · 50%algorithmicsuperintelligence/optillm →
PossiblePossibly related (embedding) · 49%Productive-Superintelligence/lllm →
PossiblePossibly related (embedding) · 48%yyh-001/llm-value-rankings →

Covers

tutorialEvaluate a model properly paperAdvancedMathBench: A Benchmark Suite for Advanced Mathematical Proof Generation and Verification repoalgorithmicsuperintelligence/optillm repoProductive-Superintelligence/lllm repoyyh-001/llm-value-rankings

Related across the graph

repoProductive-Superintelligence/lllm repoalgorithmicsuperintelligence/optillm paperAdvancedMathBench: A Benchmark Suite for Advanced Mathematical Proof Generation and Verification tutorialEvaluate a model properly repoyyh-001/llm-value-rankings