Fine-Tuning Models for Automated Code Review Feedback
arXiv 2605.12610•29c1f734d67e1549e75a4dd51e815df0ccc3eca7703f2de55d2b0b843dd54e65
AgentLensCode LlamaLLMPEFTSWE agentsSWE-CycleUIBenchKitVFC detectionagentic interpretationassured translationautomated code reviewbenchmarkscomparative binary analysiscozylarge language modelsprogram analysisprotocol-driven developmentsoftware assurancesoftware governancesoftware supply chainusability requirementsvulnerability-fixing commits
Paper metadata
- arXiv ID
- 2605.12610
- Version
- Not specified by this published record
- Category
- Computer Science — Software Engineering (cs.SE)
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Evidence and limitations
- Source ID
- arxiv_cs_se
- Record identifier
- 29c1f734d67e1549e75a4dd51e815df0ccc3eca7703f2de55d2b0b843dd54e65
- Enrichment time
- 2026-05-14T08:51:52Z
- AI-assisted enrichment
- Yes
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