Multi-Target Few-Shot Prompting with Diffusion Language Models

Paper recorded by Signals 4 on 2026-10-15 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-15 on arXiv · recorded by Signals 4 on 2026-10-16

Category: cs.CL · 自然语言处理 · first seen 2026-10-16

Abstract

Few-shot prompting is useful when instructions and rewards are hard to specify. One such application is editing by example, where a demonstrated formatting change or API migration may need to be applied across multiple sites. However, such edits often depend on both left and right context, making generation with causal autoregressive models awkward. We therefore introduce multi-target few-shot pro

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