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| Auteurs principaux: | , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2504.12516 |
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| _version_ | 1866916693604827136 |
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| author | Wei, Jason Sun, Zhiqing Papay, Spencer McKinney, Scott Han, Jeffrey Fulford, Isa Chung, Hyung Won Passos, Alex Tachard Fedus, William Glaese, Amelia |
| author_facet | Wei, Jason Sun, Zhiqing Papay, Spencer McKinney, Scott Han, Jeffrey Fulford, Isa Chung, Hyung Won Passos, Alex Tachard Fedus, William Glaese, Amelia |
| contents | We present BrowseComp, a simple yet challenging benchmark for measuring the ability for agents to browse the web. BrowseComp comprises 1,266 questions that require persistently navigating the internet in search of hard-to-find, entangled information. Despite the difficulty of the questions, BrowseComp is simple and easy-to-use, as predicted answers are short and easily verifiable against reference answers. BrowseComp for browsing agents can be seen as analogous to how programming competitions are an incomplete but useful benchmark for coding agents. While BrowseComp sidesteps challenges of a true user query distribution, like generating long answers or resolving ambiguity, it measures the important core capability of exercising persistence and creativity in finding information. BrowseComp can be found at https://github.com/openai/simple-evals. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_12516 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents Wei, Jason Sun, Zhiqing Papay, Spencer McKinney, Scott Han, Jeffrey Fulford, Isa Chung, Hyung Won Passos, Alex Tachard Fedus, William Glaese, Amelia Computation and Language We present BrowseComp, a simple yet challenging benchmark for measuring the ability for agents to browse the web. BrowseComp comprises 1,266 questions that require persistently navigating the internet in search of hard-to-find, entangled information. Despite the difficulty of the questions, BrowseComp is simple and easy-to-use, as predicted answers are short and easily verifiable against reference answers. BrowseComp for browsing agents can be seen as analogous to how programming competitions are an incomplete but useful benchmark for coding agents. While BrowseComp sidesteps challenges of a true user query distribution, like generating long answers or resolving ambiguity, it measures the important core capability of exercising persistence and creativity in finding information. BrowseComp can be found at https://github.com/openai/simple-evals. |
| title | BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2504.12516 |