{
  "id": 11077210,
  "title": "Reinforcing Multimodal Reasoning via Token-Level Perception-Grounded Advantage Estimation",
  "url": "https://urgent.news/2026/09/30/reinforcing-multimodal-reasoning-via-token-level-perception-grounded",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-30T07:29:00.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.39168v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Reinforcement Learning with Verifiable Rewards (RLVR) has improved the reasoning capabilities of Multimodal Large Language Models (MLLMs), yet existing frameworks rely on coarse, sequence-level reward signals that lack the fine-grained supervision over the visually-grounded steps within a multimodal reasoning chain. We investigate this gap through the lens of two token-level metrics: visual…",
  "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."
}