RALI
NoteRALI 标题:REASONING AS REPRESENTATION: RETHINKING VISUAL REINFORCEMENT LEARNING IN IMAGE QUALITY ASSESSMENT 作者:Bytedance & PKU 发表会议/期刊:ICLR 年份:2026 链接:RALI Intro Topic: this paper focuses on the source of generalization of RL-based IQA models (e.g., Q-Insight) Motivation: 引入视觉强化学习的IQA模型,其泛化能力提升背后的原理缺乏系统性分析(尽管已有研究在其他领域探索了强化学习的泛化,但图像质量评估任务中视觉特征的独特复杂性和质量评估的主观性,使得这些发现难以直接迁移) 逐步推理会带来高延迟和高加载开销,限制了在在线强化学习、移动端和实时场景中的部署 two critical questions(RACT & RALI): How is generalization...





