AINeutralarXiv – CS AI · 7h ago6/10
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Capturing LLM Capabilities via Evidence-Calibrated Query Clustering
Researchers introduce ECC (Evidence-Calibrated Query Clustering), an algorithm that improves how AI systems evaluate large language model capabilities by organizing queries into groups that reflect actual performance requirements rather than surface-level semantics. The method outperforms existing clustering approaches by 17-18 percentage points and shows practical value in downstream applications like query routing.