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Are LLMs ready for HardChoices?
大模型能否应对"HardChoices"？这篇Konvens 2026论文给出了前瞻性测评。
arXiv:2607.11471v1 Announce Type: new Abstract: A lot of research attention has been devoted to checking whether large language models (LLMs) are poli…
2
LLM and Human Modes of Representation
探讨大语言模型与人类表征模式的差异，从认知科学视角剖析AI理解能力
arXiv:2606.21616v1 Announce Type: new Abstract: Much work on the cognitive foundations of AI has focussed on comparisons between the ways in which Lar…
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The Dynamics of Human and AI-Generated Language: How Semantics Fluctuates across Different Timescales
揭秘人类与AI语言在语义上的时间波动，看不同尺度下两者的动态差异。
arXiv:2606.11371v1 Announce Type: cross Abstract: Spoken language, whether produced by humans or large language models (LLM), unfolds over time with v…
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Leveraging Morphology for Historical Script Metrological Analysis
用形态学分析历史手稿的计量特征，这项研究为数字人文提供了新的技术视角。
arXiv:2606.09446v1 Announce Type: new Abstract: Advances in handwritten text recognition have enabled large-scale transcription of historical document…
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Linguistic Productivity in Large Language Models: Models Coerce, but do not Preempt
揭示大语言模型的语言生成机制：模型会强制修正而非抢占规则，挑战传统语言生产力理论。
arXiv:2606.02953v1 Announce Type: new Abstract: Usage-based theories of grammars posit that creative productivity of the structures of language is bot…
6
Psychometric Item Validation Using Virtual Respondents with Trait-Response Mediators
用虚拟受访者进行心理测量项目验证，特质-响应中介模型带来全新范式
arXiv:2507.05890v4 Announce Type: replace-cross Abstract: As psychometric surveys are increasingly used to assess the traits of large language models …
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Artificial Aphasias in Lesioned Language Models
模拟脑损伤揭示语言模型内部功能组织，开创性“人工失语症”方法。
arXiv:2605.16222v1 Announce Type: cross Abstract: Aphasias, selective language impairments which can arise from brain damage, reveal the functional or…
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LLM-based Detection of Manipulative Political Narratives
最新研究：用大语言模型精准识别社交媒体上的操纵性政治叙事，区分合法批评与刻意图谋
arXiv:2605.14354v2 Announce Type: replace Abstract: We present a new computational framework for detecting and structuring manipulative political narr…