Author

Yuanfa Li

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#machine learning Preprint Jul 2026

SEE: Structure-aware Exploring&Exploiting for Long-horizon GUI Agent Trajectory Synthesis

See, a two-stage data synthesis framework consisting of an efficient exploration stage that builds an explicit UI transition graph over screens and elements, and a graph-based synthesis stage that composes diverse multi-step trajectories via planning and controlled sampling, yields reproducible and explainable data generation.

Zhuohang Fan, Beichen Zhang, Yuanfa Li et al. · 0 citations

#artificial intelligence Preprint Aug 2026

MemFuse: Multi-Source Memory Fusion from Fragmented Observations

Experiments on MemFuseBench show that MemFuse achieves the best overall performance among the evaluated memory systems under all three LLM settings and consistently improves performance on questions requiring cross-source evidence fusion.

Chao Li, Yuanfa Li, Wenhao Wu et al. · 0 citations