arXiv:2502.01573
Next Steps in LLM-Supported Java Verification
원문 초록
Recent work has shown that Large Language Models (LLMs) are not only a suitable tool for code generation but also capable of generating annotation-based code specifications. Scaling these methodologies may allow us to deduce provable correctness guarantees for large-scale software systems. In comparison to other LLM tasks, the application field of deductive verification has the notable advantage of providing a rigorous toolset to check LLM-generated solutions. This short paper provides early results on how this rigorous toolset can be used to reliably elicit correct specification annotations from an unreliable LLM oracle.
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Rethinking Verification for LLM Code Generation: From Generation to Testing
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
CoreCodeBench: A Configurable Multi-Scenario Repository-Level Benchmark
Estimating Correctness Without Oracles in LLM-Based Code Generation
토론
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