Channels - From brittle to robust: Improving LLM annotations for SE optimization :: FRELIP Discovery

Similar Items: From brittle to robust: Improving LLM annotations for SE optimization

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A multi-language perspective on the robustness of LLM code generation
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An empirical study of LLM-based refactoring consistency
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The impact of critique on LLM-based model generation from natural language: the case of activity diagrams
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Identifying performance-sensitive configurations in software systems with LLM-based agents
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MinsC2Rust: LLM-driven project-level code migration from C to safe Rust
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Balancing usefulness and naturalness: an LLM-based curation pipeline for code review comments
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Green architectural tactics in ML-enabled systems: an LLM-based repository mining study
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Do influence tactics matter? investigating prompt framing effects in LLM code generation
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Exploring and improving knowledge distillation for pre-trained code models
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PorteuX 2.6 Released with Linux 6.19, TLP Support, and Smarter Hardware Optimization
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Linux Kernel 7.1.4 Released with Bug Fixes, Security Updates, and Hardware Improvements
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Firefox 153 Released with HDR Video, Smarter PDF Tools, Better Privacy, and New Linux Improvements
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Security issues in python open-source software: a mining study from GitHub
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From values to adoption: on the role of individual cultural values on fairness toolkit adoption in software development
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A recommendation system for predicting dependencies among software changes insights from an empirical study on OpenStack
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Web element relocalization in evolving web applications: A comparative analysis and extension study
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Correction to: Is this build failure related to my patch? An empirical study of unrelated build failures in continuous integration
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Empirical studies on adversarial reverse engineering with students
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Aspect-centric vulnerability understanding via semantics-aware commit representation learning
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Is your prompt poisoning code? Defect induction rates and security mitigation strategies
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Software dependencies 2.0: An empirical study of reuse and integration of pre-trained models in open-source projects
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Fedora Governance Changes Take Effect as Project Refines Leadership, Policy, and Contributor Oversight