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arXiv3h ago
4.6

Position: Science of AI Evaluation Requires Item-level Benchmark Data

Han Jiang, Susu Zhang, Xiaoyuan Yi, Xing Xie, Ziang Xiao

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty6/10
Categorypaper
Topics
evaluationbenchmarking

Opportunity Brief

Build a data-centric evaluation platform that allows developers to drill down into item-level performance of models. Moving beyond aggregated scores is critical for high-stakes AI deployment.

Suggested repo: item-eval

"Go beyond aggregate scores: diagnostic AI evaluation."

Estimated effort: 50h