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University of Copenhagen
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Systematic gaps in AI evaluation reporting are exposed, revealing inconsistencies that hinder reliable comparisons across thousands of models and benchmarks.
ECI_{sem} ranks LLM negatives highest among non-hybrid sources, revealing that effective hard-negative selection can be achieved without fine-tuning.
