WebWalker
A benchmark focused on web navigation and multi-hop information retrieval, measuring an agent's ability to navigate between sites and locate information layer by layer.
Timeline (last 90 days)
Table 1 of the paper shows that ARPO (a pure-text 8B agent without latent-space mode) scores 38.8 on GAIA and 32.0 on WebWalker, both slightly higher than GPT-5.6 Luna.
The incremental gains from latent-space mode are: GAIA rises from 38.8 to 43.7, and WebWalker jumps from 32.0 to 42.5.
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.
All Facts (3)
Table 1 of the paper shows that ARPO (a pure-text 8B agent without latent-space mode) scores 38.8 on GAIA and 32.0 on WebWalker, both slightly higher than GPT-5.6 Luna.
50%UnverifiedThe incremental gains from latent-space mode are: GAIA rises from 38.8 to 43.7, and WebWalker jumps from 32.0 to 42.5.
50%UnverifiedGAIA, 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.
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