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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.

LLM Reasoning2 papers, 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

    • LLM Reasoning
    • Language Models & Architectures

    Protein folding training improves broad reasoning in language models

    Training a language model on protein folding-derived question-answer data and 3D geometry improves its performance on ten diverse reasoning benchmarks by 3.23 percentage points, showing that structured scientific data can enhance general reasoning.

    Paper: Does Learning Protein Folding Generalize to Broader Reasoning? · Yong Liu, Zhanpeng Shi, Yizhou Dang and 4 others

    105 upvotes on Hugging Face5 Oct 20267 min readRead the article