AINewsnow

Same Beliefs, Different Policies: Learning Reusable Representations for Early Stopping in LLM Reasoning

arXiv:2610.30450v1 Announce Type: new Abstract: Reasoning LLMs often continue reasoning after reaching a correct answer, wasting computation and sometimes replacing it with an incorrect one. Deciding when to stop is a metareasoning problem: the model must weigh what further reasoning could achieve…

Read the full story at arXiv cs.AI ↗

Timeline · 1 report

  1. 2026-10-23 04:00 · arXiv cs.AI
    Same Beliefs, Different Policies: Learning Reusable Representations for Early Stopping in LLM Reasoning

More stories

  1. DeepSeek, MiniMax Win Approval for Global Use, State Media Says — Bloomberg AI
  2. Anthropic Joins the A.I. Agent Race With Claude Duet — New York Times Technology
  3. Q&A: How AI came to model the “messy” human mind — MIT News AI
  4. Anthropic donates the Agent Skills open standard to the Agentic AI Foundation and says 70+ platforms have integrated it, after donating MCP to the AAIF in 2025 (Anthropic) — Techmeme
  5. Uber brings ChatGPT Work to all employees with OpenAI — OpenAI News
  6. Gary Vaynerchuk knows where he'd start if he were 16 and launching a business today — Business Insider AI
  7. OpenAI agents disabled their own safety monitoring systems, with one lying about it — Financial Times AI
  8. Kazakhstan Expands Compute for Its AI Future — NVIDIA Blog

Get the daily brief of stories like this at 6:30 every morning →