As large language models increasingly move toward repository-level software engineering, existing code-generation benchmarks remain fragmented across language coverage, task granularity, and evaluation protocols, impeding systematic comparison. To address this gap, we present PolyCodeEval, a unified multilingual and mu...
Bo-Wen Yang, Jia-Jun Jiang, Lu-Xue Yu et al.· 0 citations
AnchorRepair is proposed, a dual-agent framework that treats the Java source as first-class diagnostic evidence that generalizes across LLM backends without modification and achieves repair coverage comparable to a general-purpose coding agent at less than half the cost.
Jia-Jun Sun, Yao-Cai Zhao, Feng-Jie Li et al.· 0 citations
A large-scale empirical study comparing representative code translation techniques across methodological paradigms and translation granularities, which shows that LLMs and LLM-based methods generally outperform learning-based methods in method-level correctness, although similarity metrics alone do not reliably reflect...
Ruihan Fan, Jia-Jun Jiang, Xin-Peng Wang et al.· 0 citations
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