揭示大语言模型推理时被表面启发式误导而忽略隐含约束的机制，对理解AI的认知偏差有重要启发。
arXiv:2603.29025v3 Announce Type: replace-cross Abstract: Large language models fail when a salient surface cue conflicts with an unstated feasibility…
破解大模型“会做却做错”谜题：多项选择题中知识-预测差距的桥接方法，被ICML 2026接收，理论突破与实践价值兼备。
arXiv:2509.23782v4 Announce Type: replace Abstract: While large language models (LLMs) perform strongly on diverse tasks, their trustworthiness is lim…
研究揭示人类比大语言模型更容易受来源标签影响而忽略逻辑推理，对比认知偏见。
arXiv:2605.29928v1 Announce Type: cross Abstract: As AI-generated and AI-assisted content floods online spaces, source labels attached to such content…
CEO们因远离一线具体工作而高估AI能力，陷入“AI精神病”式过度乐观。
"CEOs are uniquely prone to AI psychosis," Box CEO Aaron Levie opines. Maybe that explains the almost religious belief in AI productivity gains.
揭秘多模态大模型推理时感知下降现象及缓解策略，为AI可靠性提供关键洞察
arXiv:2603.14184v2 Announce Type: replace Abstract: Multimodal large language models (MLLMs) often suffer from perceptual impairments under extended r…