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Yanfu Yan

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#artificial intelligence Preprint Oct 2026

Well-Specified and Well-Tested? Assessing SWE-bench-Style Datasets with a Self-Evolving Agent

ExLabel is proposed, an LLM-based, self-evolving, experience-guided assistant for task clarity and test coverage assessment in SWE datasets that maintains an evolving experience bank that distills cross-instance knowledge into stable yet adaptive judgment criteria and reuses relevant experience to guide the assessment...

Zhong-Hao Jiang, Xu-Yang Zheng, Yan-Fu Yan et al. · 0 citations

SynH-Rank: Quality-Aware Code Search via Diverse Data Synthesis and Hierarchical Ranking Training

SynH-Rank is proposed, a quality-aware code reranking framework that combines LLM-driven diverse data synthesis with hierarchical ranking training and employs a three-level labeling scheme to explicitly model the hierarchy: high-quality relevant>low-quality relevant>irrelevant.

Keyu Liang, Haoye Wang, Yanfu Yan et al. · 0 citations
Preprint Aug 2026

Fusing UI Structure&Semantics for Feature-Oriented App Screen Retrieval&Clustering

Across three benchmarks, FRAME outperforms strong baselines by up to 13% MRR in search and 7.6 percentage points in clustering accuracy, demonstrating FRAME's potential for enhancing automated UI design and testing tools.

Arun Krishna Vajjala, Yanfu Yan, Ajay Krishna Vajjala et al. · 0 citations

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