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Zhe Zhang

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Jul 2026

Type-aware LLM-based Test Generation for Python Programs

Test4Py is presented, a novel framework that enhances type correctness in automated test generation for Python by leveraging the program’s call graph to capture richer contextual information about parameters, and introducing a behavior-based type inference mechanism that accurately infers parameter types and constructs valid test inputs.

Runlin Liu, Zhe Zhang, Yunge Hu et al. · 0 citations
Preprint Aug 2026

BulkPR-Bench: Benchmarking Queue-Level Governance of Interacting Pull Requests

BulkPR-Bench is introduced, an executable benchmark in which an agent must recover consequential PR relations and return a large safe subset in executable order in executable order under a rolling-release protocol.

Zetong Xiong, Qiao Zhao, Jun Zhang et al. · 0 citations