Ko-WideSearch: A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web Agents
arXiv:2606.27595v1 Announce Type: new Abstract: Web-agent benchmarks overwhelmingly measure depth -- pinning one obscure answer behind a chain of constraints -- while breadth, exhaustively enumerating a closed set and filling each item's attributes, is barely evaluated, especially outside English. Breadth is also hard to build: certifying that a gold set is complete and every cell correct is far costlier than checking a single answer. I introduce \textsc{Ko-WideSearch}, a Korean breadth-search b...
arXiv cs.CL
·Minbyul Jeong
·
// relacionados
Leia também
Blog
The US military used AI to pick thousands of targets but missed a note saying one was a school
Blog
HP accelerates enterprise workflows with OpenAI Frontier
Editorial
O fantasma do Fable 5: banido, o modelo vive nos datasets que o destilam
Editorial