{
  "id": 10615506,
  "title": "Learning Native Reflection in Unified Models with Interleaved Reinforcement Learning",
  "url": "https://urgent.news/2026/09/28/learning-native-reflection-in-unified-models-with-interleaved",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-28T17:59:36.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.35767v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Unified multimodal models can both look at and render images, so in principle they can repair their own generations: diagnose what an image gets wrong, revise it, observe the result, and diagnose again. Whether a revision helps is known only after it is rendered, so the reflection text and the image generation must be learned jointly, over the whole loop. Supervised fine-tuning (SFT) on…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}