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Research papers, made simple to understand

The AI and machine learning papers people are reading most, each one rewritten in plain words: the problem, the idea, what was found and why it matters.

  • All topics
  • AI Agents23
  • Language Models & Architectures8
  • LLM Reasoning2
  • Training & Efficiency7
  • Reinforcement Learning & Alignment6
  • Image & Video Generation9
  • Multimodal & Vision10
  • Robotics & Physical AI9
  • Benchmarks & Evaluation9
  • Serving & Infrastructure1
  • Safety & Interpretability1
  • Speech & Audio1

Safety & Interpretability1 paper, newest first

    • LLM Reasoning
    • Safety & Interpretability

    LLMs often continue explicit reasoning despite instructions to answer directly

    This paper defines and measures "no-thinking" in LLMs as the absence of visible explicit inference before the final answer. Across six LLMs and tasks, explicit no-thinking controls rarely eliminate reasoning traces, especially on open-ended tasks, revealing a trade-off between compliance and accuracy.

    Paper: Thinking Inertia: LLMs Keep Thinking When Told Not To · Dianqiao Lei, Kevin Qinghong Lin, Pan Lu and 2 others

    215 upvotes on Hugging Face13 Oct 20268 min readRead the article