SWE-QA creates a new repository-level code QA benchmark with 576 pairs and an agentic LLM framework, showing promise but open challenges for models handling complex codebases.
Repotransbench: A real-world benchmark for repository-level code translation
4 Pith papers cite this work. Polarity classification is still indexing.
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PtrTrans builds a Pointer Knowledge Graph with points-to flows, struct abstractions, and Rust annotations to guide LLMs toward project-level C-to-Rust translations that cut unsafe code by 99.9% and raise functional correctness by 29.3%.
A large-scale study finds that many LLM code translation failures are false negatives due to improper evaluation configurations rather than incorrect translations.
A survey of methods, benchmarks, and open challenges for large language models in multilingual code generation and translation.
citing papers explorer
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SWE-QA: Can Language Models Answer Repository-level Code Questions?
SWE-QA creates a new repository-level code QA benchmark with 576 pairs and an agentic LLM framework, showing promise but open challenges for models handling complex codebases.
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Project-Level C-to-Rust Translation via Pointer Knowledge Graphs
PtrTrans builds a Pointer Knowledge Graph with points-to flows, struct abstractions, and Rust annotations to guide LLMs toward project-level C-to-Rust translations that cut unsafe code by 99.9% and raise functional correctness by 29.3%.
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Beyond Translation Accuracy: Addressing False Failures in LLM-Based Code Translation
A large-scale study finds that many LLM code translation failures are false negatives due to improper evaluation configurations rather than incorrect translations.
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Large Language Models for Multilingual Code Intelligence: A Survey
A survey of methods, benchmarks, and open challenges for large language models in multilingual code generation and translation.