Author

Zhonghao Jiang

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Preprint Nov 2026

How Agent Skills Evolve: A Large-Scale Empirical Study of Skills on GitHub

Large language model-based agents increasingly rely on external skills to reuse task-specific knowledge without retraining the model. As skills become common for extending agent capabilities, understanding creation and evolution is critical for reliable agent systems. However, existing studies mainly examine agent skil...

Jin-Jun Huang, Jia-Lun Cao, Jun-Xiao Han et al. · 0 citations

#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

Preprint Aug 2026

Effective and Efficient Context Retrieval via Partial Dependency Graph for Repository-Level Code Generation

DyRetriever is an efficient context retrieval method via partial dependency graphs that uses an LLM to first select a set of entry-point functions and then perform multi-hop reasoning along the code dependency graph, eliminating manually designed rules and enabling flexibility across scenarios.

Zhongxin Liu, Zhonghao Jiang, Zhi-Fan Ye et al. · 1 citation