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Zhonghao Jiang

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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
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

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