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K-BrowseComp: A Web Browsing Agent Benchmark Grounded in Korean Contexts research paper by Carnegie Mellon University, 2026

Carnegie Mellon University · Jun 1, 2026 · Agents and evaluation · 2 citations · 57 upvotes · unverified

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What it shows

Korean web-browsing agent benchmark K-BrowseComp evaluates frontier LLMs' capabilities with 400 problems, showing significant performance gaps compared to English benchmarks and highlighting the need for more robust Korean AI development.

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

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About this paper
Authors
Nahyun Lee, Dongkeun Yoon, Guijin Son and 12 more
arXiv
2606.02404 · PDF
Venue
arXiv.org
Citations
2, 1 influential · Semantic Scholar
Upvotes
57 · Hugging Face
Code
github.com/prometheus-eval/K-BrowseComp
Lab
Carnegie Mellon University

Changes

What changed
Influential citationsfirst count: 1Sep 25, 2026
Citationsfirst count: 2Sep 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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