AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Preserving safety alignment during large language models fine-tuning is critical, however, recent studies have demonstrated that even benign fine-tuning data may contain safety-degrading samples that silently undermine safety alignment. Existing approaches typically identify such samples using representations from a si...
RepoNav is introduced, a lightweight post-retrieval interface that reorganizes retrieved snippets into a file-centered navigation scaffold that improves function-level localization and narrows the file-to-function gap.
TDD-Agent is introduced, which operationalizes the test-driven development paradigm for code generation and improves not only code correctness but also the effectiveness of the generated tests, yielding higher pass rates, coverage, and mutation scores, suggesting that tests can serve as evolving reasoning artifacts rat...
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