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News/Edit-R2: Context-Aware Reinforcement Learning for Multi-Turn Image Editing
arxiv
PublishedJune 6, 2026 at 4:00 AM
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Edit-R2: Context-Aware Reinforcement Learning for Multi-Turn Image Editing

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Publisher summary· verbatim

arXiv:2606.05950v1 Announce Type: new Abstract: Text-guided image editing has advanced rapidly with diffusion models and unified multimodal foundation models. However, most existing methods remain confined to single-turn settings, overlooking the more realistic scenario of multi-turn in-context edit

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arxivAdaPRA: Process Reward Agents with Adaptive Rubrics for Data Science7harxivScoped Semantic Invariance as a Foundation for LLM Reliability7harxivGEMS-RAG: Graph-grounded Engineering Multimodal Standards Retrieval-Augmented Generation7harxivEstimation of Propagated Risk in LLM-based Multi-Agent Systems7h
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