{
  "id": 10589396,
  "title": "$T^5$: Twin-Critic Training for Token-Level Thoughts in Reinforcement Mid-Training",
  "url": "https://urgent.news/2026/09/26/t-5-twin-critic-training-for-token-level-thoughts-in-reinforcement",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-26T17:07:57.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.32791v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Reinforcement mid-training lets language models learn internal thoughts from unlabeled text, but efficient token-level credit assignment remains challenging. Existing group-relative methods require costly repeated generation. Learned critics offer single-rollout feedback, but accurate return prediction alone does not ensure reliable policy updates. Our analysis shows how training--inference…",
  "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."
}