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 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.· arXiv.org· 0 citations
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.