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papersSEP 12 04:00 UTC

Benchmark Radar Offers Searchable Database of AI Evaluation Benchmarks

A new arXiv paper introduces Benchmark Radar, a searchable database and engine intended to help model developers locate relevant evaluations along with their datasets and code. The system also aims to make the conditions behind reported benchmark scores easier to understand. It is targeted at researchers working on large language models and other AI systems.

arXiv Benchmark Radar AI evaluation benchmarks benchmark reproducibility large-language-models model evaluation

COVERAGE · 2 REPORTS · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.AIBenchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation ↗SEP 12 04:00 UTC

arXiv cs.AIBenchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation ↗TODAY 04:00 UTC