Benchmark Radar Topped Hugging Face Daily Papers on September 14

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I submitted our paper Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation to Hugging Face Daily Papers on September 14, 2026, and readers voted it to the top of that day’s list. As of September 29 it has 171 upvotes, the most of the 26 papers posted that day.

Author: Koutian Wu; GitHub: ktwu01

The page links everything a reader needs to try the work instead of just reading about it: the project site, the GitHub repository, and the Benchmark Radar dataset on the Hub, with more than 48,000 rows that load straight into datasets or pandas. Four of the seven authors have claimed the paper on Hugging Face, so it also shows up on each of their profile pages.

Daily Papers is where many model builders check what is new each morning, and upvotes come from people who build and evaluate models themselves. A first-place day there puts a benchmark database in front of the readers who pick benchmarks for a living.

See the Hugging Face paper page, or browse all Benchmark Radar coverage on my Media Coverage page.