localized-editing

This paper proposes Detect–Remask–Repair, a diffusion-based framework for localized faithfulness repair in summarization when contexts evolve, and introduces the StreamSum benchmark for evaluating such settings. Experiments show it offers controllable trade-offs between faithfulness, speed, and content preservation.