AI RESEARCH
LLM Olympiad: Why Model Evaluation Needs a Sealed Exam
arXiv CS.AI
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ArXi:2603.23292v1 Announce Type: new Benchmarks and leaderboards are how NLP most often communicates progress, but in the LLM era they are increasingly easy to misread. Scores can reflect benchmark-chasing, hidden evaluation choices, or accidental exposure to test content -- not just broad capability. Closed benchmarks delay some of these issues, but reduce transparency and make it harder for the community to learn from results.