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Benchmark Radar: A Living Database and Search Engine for AI Benchmarks and Evaluation research paper by Carnegie Mellon University, 2026

Carnegie Mellon University · Sep 10, 2026 · Agents and evaluation · 0 citations · 171 upvotes · unverified

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What it shows

Benchmark Radar is a searchable living database and discovery engine for AI evaluation benchmarks that aggregates sources, score histories, and evidence to support benchmark selection and comparison.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Koutian Wu, Junjie Zhou, Ergan Shang and 4 more
arXiv
2609.11115 · PDF
Citations
0, 0 influential · Semantic Scholar
Upvotes
171 · Hugging Face
Code
github.com/ktwu01/benchmark-radar
Lab
Carnegie Mellon University

Changes

What changed
Influential citationsfirst count: 0Sep 25, 2026
Citationsfirst count: 0Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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