视觉对齐的图像编辑后续建议：对话系统中的三阶段框架

AI 摘要

该论文提出一个三阶段多模态框架，用于在图像创作对话中推荐后续编辑建议。框架结合监督微调、多目标强化学习和视觉验证器，在百万级用户的A/B测试中将视觉不一致率从3.7%降至0.9%，并显著提升推荐点击率、图像采纳率和平均对话轮数。

正文节选

What to Edit Next: Visually Aligned Image-Editing Follow-Up Suggestions in Conversational Systems Abstract A three-stage multimodal framework improves follow-up edit recommendations in image-creation conversations by combining supervised fine-tuning, multi-objective reinforcement learning, and visual verification. Conversational assistants increasingly recommend follow-up edits to help users continue a task. Existing systems primarily target text-only interactions, leaving image-creation convers

发布时间：—

抓取时间：2026-08-12 01:41

来源机构：Hugging Face