Papers with SynthAgent

1 papers
SynthAgent: Adapting Web Agents with Synthetic Supervision (2026.acl-long)

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Challenge: Existing studies have focused on synthetic supervision but have encountered data quality issues.
Approach: They propose a fully synthetic supervision framework that aims at improving data quality via dual refinement of both tasks and trajectories.
Outcome: The proposed framework outperforms existing methods on standardized benchmarks and shows promising results on a standardized test.

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