SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding
#SWE-QA-Pro #benchmark #repository-level #code understanding #training recipe #software engineering #AI evaluation
📌 Key Takeaways
- SWE-QA-Pro is a new benchmark for evaluating repository-level code understanding.
- It includes a scalable training recipe to improve performance on complex code tasks.
- The benchmark aims to better represent real-world software engineering challenges.
- It addresses limitations of existing datasets by incorporating diverse code repositories.
📖 Full Retelling
arXiv:2603.16124v1 Announce Type: cross
Abstract: Agentic repository-level code understanding is essential for automating complex software engineering tasks, yet the field lacks reliable benchmarks. Existing evaluations often overlook the long tail topics and rely on popular repositories where Large Language Models (LLMs) can cheat via memorized knowledge. To address this, we introduce SWE-QA-Pro, a benchmark constructed from diverse, long-tail repositories with executable environments. We enfo
🏷️ Themes
AI Benchmarking, Code Understanding
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Original Source
arXiv:2603.16124v1 Announce Type: cross
Abstract: Agentic repository-level code understanding is essential for automating complex software engineering tasks, yet the field lacks reliable benchmarks. Existing evaluations often overlook the long tail topics and rely on popular repositories where Large Language Models (LLMs) can cheat via memorized knowledge. To address this, we introduce SWE-QA-Pro, a benchmark constructed from diverse, long-tail repositories with executable environments. We enfo
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