The authors assembled 541 tasks containing 5,293 steps from successful WebArena trajectories.
Generating user guides can improve web agents’ action selection
On a deterministic offline benchmark, jointly training models to produce instructions and grounded actions modestly improved element selection, especially at larger scale.
Research Lab
Chengguang Gan · Yunhao Liang · QingHao Zhang · Shiwen Ni
Independent Researcher · University of Chinese Academy of Sciences · Pusan National University · Shenzhen University of Advanced Technology
Research Digest··2 min read
Gan et al.
Why this paper
From University of Chinese Academy of Sciences and 3 others
In one line
Jointly decoding a guide and action improves web agent element selection, and guides causally drive actions.
What we could check
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- ✓Limitations stated by the authors
- ✓Reports numbers on named benchmarks
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