AI RESEARCH
Autoregressive, Yet Revisable: In Decoding Revision for Secure Code Generation
arXiv CS.AI
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ArXi:2602.01187v2 Announce Type: replace-cross Large Language Model (LLM) based code generation is predominantly formulated as a strictly monotonic process, appending tokens linearly to an immutable prefix. This formulation contrasts to the cognitive process of programming, which is inherently interleaved with forward generation and on-the-fly revision. While prior works attempt to