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Articole: 9
  1. Predictable code generation needs a preservation contract

    Predictability requires an observable contract stated before generation: what may change, what must remain stable, how each property will be measured, and when an output will be rejected.

  2. AI-assisted refactoring: methods and evidence

    Separate transformation proposal from trusted execution and verification.

  3. Constrained code generation for software engineering

    Only the property explicitly enforced by the constraint.

  4. Localized code modification with generative models

    Define protected and editable regions before generation, reuse or constrain the protected representation, generate only candidate changes, and reject outputs that alter protected code or fail task-specific checks.

  5. Code-space vs token-space masked diffusion: how to compare them

    Evaluate source text, codec reconstructions, token-space outputs, and decoded code-space outputs with the same external scorer and preprocessing.

  6. How to tell whether a compressed text generator fails in the codec or the generator

    Score original text, paired codec reconstructions, and final generated text with the same external evaluator.

  7. How can AI edit code without regenerating the entire program?

    Code editing is not merely code generation with a shorter prompt: it combines an intended change with a preservation contract.

  8. Inspectable Control for Structure-Preserving Software Regeneration

    Research question: How can a generative model modify selected parts of a program while preserving chosen elements of its coarse structure?

  9. Where Quality Breaks in Compressed Short-Text Generation: Staged Bottleneck Localization

    Research question: How can quality loss in a compressed text-generation pipeline be attributed separately to the codec and to the latent generator?