The authors divide GUI-agent experience into locators, procedures, state facts and lessons.
GUI agents improve more when experience is routed by component
The authors show that reusable knowledge often belongs in model weights, while situation-specific instructions and facts work better when retrieved into context.
Academic
Beining Wu · Zihao Ding · Jun Huang
South Dakota State University
Research Digest··3 min read
Wu, Ding and Huang test whether GUI agents should learn from prior trajectories through fine-tuning or by retrieving notes into the prompt.
Why this paper
From South Dakota State University
In one line
GUI agent experience should be split into locators, procedures, state facts, and lessons, with locators and lessons in weights and procedures and state facts in context.
What we could check
- ·No code link found
- ·No weights link found
- ·No dataset link found
- ✓Compute or model size stated (params 8B)
- ·No stated limitations found
- ✓Reports numbers on named benchmarks (2 benchmarks)
Observed from the paper text and links we have. Absence here means we did not find it, not that it does not exist.
§