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MineValiCoder: Reliable Code Generation with Test Case Quality Mining and Bipartite Graph-Based Mutual Validation

Research Code Generation

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Merged summary

TL;DR - MineValiCoder is a closed-loop TDD framework that improves LLM code generation by filtering faulty generated tests and jointly validating code-test quality. It reports state-of-the-art performance across four coding benchmarks.

  • Test Case Quality Mining uses self-validation to remove unreliable tests before refinement.
  • Parallel TDD Refinement iteratively produces diverse code candidates using validated test feedback.
  • Bipartite graph-based mutual validation models code-test interactions to select the most reliable solution.
  • Reported Pass@1 reaches 96.34% on HumanEval, 87.40% on MBPP, 64.00% on APPS, and 51.33% on LiveCodeBench.

Sources (1)

MineValiCoder: Reliable Code Generation with Test Case Quality Mining and Bipartite Graph-Based Mutual Validation

arXiv cs.SE Zhen Zhao, Qihang Yang, Feifei Dai, Xiangfang Li, Bo Li 2026-07-24 arXiv:2607.22471
Public signals Semantic Scholar citations 0 · Semantic Scholar influential citations 0
Providers: Hugging Face · N/A OpenAlex · N/A Publisher · N/A Semantic Scholar · Citations 0 · Influential citations 0 X · N/A Fetched 2026-08-24 14:34:06.522164 UTC

TL;DR - MineValiCoder is a closed-loop TDD framework that improves LLM code generation by filtering faulty generated tests and jointly validating code-test quality. It reports state-of-the-art performance across four coding benchmarks.

  • Test Case Quality Mining uses self-validation to remove unreliable tests before refinement.
  • Parallel TDD Refinement iteratively produces diverse code candidates using validated test feedback.
  • Bipartite graph-based mutual validation models code-test interactions to select the most reliable solution.
  • Reported Pass@1 reaches 96.34% on HumanEval, 87.40% on MBPP, 64.00% on APPS, and 51.33% on LiveCodeBench.
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