AI RESEARCH

BenchBrowser -- Collecting Evidence for Evaluating Benchmark Validity

arXiv CS.AI

ArXi:2603.18019v1 Announce Type: cross Do language model benchmarks actually measure what practitioners intend them to? High-level metadata is too coarse to convey the granular reality of benchmarks: a "poetry" benchmark may never test for haikus, while "instruction-following" benchmarks will often test for an arbitrary mix of skills. This opacity makes verifying alignment with practitioner goals a laborious process, risking an illusion of competence even when models fail on untested facets of user interests. We.