DeepSearchQA
A benchmark for evaluating AI agents' deep search and question-answering capabilities, examining model performance in complex information retrieval and multi-step reasoning scenarios.
Timeline (last 90 days)
GAIA, WebWalker, HLE and DeepSearchQA evaluate different capabilities: GAIA targets tool calling for general AI assistants, WebWalker focuses on web navigation and multi-hop retrieval, HLE is a high-difficulty closed-book knowledge reasoning exam, and DeepSearchQA evaluates accuracy on multi-hop deep retrieval question answering.
AREX-2 achieved the following scores on deep research tasks: BrowseComp 84.0, HLE 52.6, GAIA 92.2, and DeepSearchQA 93.8
All Facts (2)
GAIA, WebWalker, HLE and DeepSearchQA evaluate different capabilities: GAIA targets tool calling for general AI assistants, WebWalker focuses on web navigation and multi-hop retrieval, HLE is a high-difficulty closed-book knowledge reasoning exam, and DeepSearchQA evaluates accuracy on multi-hop deep retrieval question answering.
50%UnverifiedAREX-2 achieved the following scores on deep research tasks: BrowseComp 84.0, HLE 52.6, GAIA 92.2, and DeepSearchQA 93.8
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