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English(EN) "Don't Say It!": Constraints, Compliance, and Communication when Language Models Play Taboo

大型语言模型在禁忌游戏中难以进行约束性沟通

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员探讨了大型语言模型（LLMs）在禁忌游戏中的表现，该游戏要求描述目标词语而不使用一组禁用词。研究通过在从提示到操纵内部表征的生成过程的各个阶段进行干预，评估了开放权重模型。结果表明，在遵守游戏规则和生成有效描述之间存在权衡，模型作为猜词者的表现远不如人类，这凸显了当前大型语言模型在约束下的词汇基础方面面临的持续挑战。 AI

影响 凸显了大型语言模型在平衡严格约束与有效沟通方面的局限性，并指出了未来研究的方向。

排序理由 学术论文，详细介绍了关于大型语言模型能力的研究。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

大型语言模型在禁忌游戏中难以进行约束性沟通

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学术论文，详细介绍了关于大型语言模型能力的研究。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [2]

  1. arXiv cs.CL TIER_1 English(EN) · Sara Candussio, Francesca Padovani, Daniel Scalena, Malvina Nissim ·

    “别说出来！”：语言模型玩禁忌游戏时的限制、合规与沟通

    arXiv:2607.00601v1 Announce Type: new Abstract: The game of Taboo requires describing a target word without using a set of forbidden words, so that other players can guess it. This deceptively simple task combines strict lexical constraints with the need for communicatively effec…

  2. arXiv cs.CL TIER_1 English(EN) · Malvina Nissim ·

    “别说出来！”：语言模型玩禁忌游戏时的限制、合规与沟通

    The game of Taboo requires describing a target word without using a set of forbidden words, so that other players can guess it. This deceptively simple task combines strict lexical constraints with the need for communicatively effective descriptions, making it a compelling playgr…

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