Papers by Haojian Huang

    1 papers
    DependEval: Benchmarking LLMs for Repository Dependency Understanding (2025.findings-acl)

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    Challenge: a benchmark is designed to evaluate the repository-level dependency understanding of large language models (LLMs) based on 2683 repositories from real-world websites.
    Approach: They propose a benchmark to evaluate repository dependency understanding for large language models . DEPENDEVAL evaluates models on three core tasks across 8 programming languages .
    Outcome: The benchmark evaluates models on three core tasks across 8 programming languages from real-world repositories.

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