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    Changing language models’ confidence affects whether they answer, study author says

    The author describes a Nature Machine Intelligence paper as causal evidence that large language models use confidence to guide behavior, rather than just report it.

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    TLDR

    Boosting or suppressing confidence changes whether large language models answer or abstain, according to one author of an open-access Nature Machine Intelligence paper. The author says this provides causal evidence that confidence guides model behavior.

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    Combined views

    43.4K

    3 Sources, first seen 24d ago

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    8 comments
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    33 reposts

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    Positive——Negative

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    3 Sources

    @dharshskyDo LLMs passively report confidence—or do they use it to guide behaviour? Our @NatMachIntell paper provides causal evidence for the latter: boosting/suppressing confidence changes whether models answer or abstain. Open access: https://www.nature.com/articles/s42256-026-01293-x @GoogleDeepMind @Princeton
    @GoogleDeepMindRT @dharshsky: Do LLMs passively report confidence—or do they use it to guide behaviour? Our @NatMachIntell paper provides causal evidence…
    @PetarV_93our research on confidence in llms continues! new paper by @dharshsky et al. now published in @NaturePortfolio machine intelligence 🚀

    3 Sources

    @dharshskyDo LLMs passively report confidence—or do they use it to guide behaviour? Our @NatMachIntell paper provides causal evidence for the latter: boosting/suppressing confidence changes whether models answer or abstain. Open access: https://www.nature.com/articles/s42256-026-01293-x @GoogleDeepMind @Princeton
    @GoogleDeepMindRT @dharshsky: Do LLMs passively report confidence—or do they use it to guide behaviour? Our @NatMachIntell paper provides causal evidence…
    @PetarV_93our research on confidence in llms continues! new paper by @dharshsky et al. now published in @NaturePortfolio machine intelligence 🚀