Papers by Rujia Wang

2 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.
Synergistic Weak-Strong Collaboration by Aligning Preferences (2025.acl-long)

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Challenge: Current Large Language Models excel in general reasoning yet struggle with specialized tasks requiring proprietary or domain-specific knowledge.
Approach: They propose a collaborative framework that pairs a specialized weak model with a general strong model to optimize collaboration.
Outcome: The proposed framework outperforms each model alone by leveraging complementary strengths.

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