AI编码代理的追踪器都在自我报告，别被表面数据骗了，学会看清盲区。
On 27 July I opened a project I'd been building with Claude Code and found three things true at once: a card had carried a null commit for two days th…
小参数大模型自称有意识？新研究用严谨测试给出否定答案。
arXiv:2601.15334v2 Announce Type: replace-cross Abstract: Whether language models possess sentience has no empirical answer. But whether they believe …
LLM能否可靠识别自身被对抗性前缀攻击？研究检验其内省能力在安全场景中的表现。
arXiv:2606.23671v1 Announce Type: new Abstract: Prior work shows that large language models (LLMs) exhibit introspective capability on benign tasks. W…
LLM心理测量评估新视角：揭示自我报告预测行为的条件与原因，为模型行为理解提供理论支撑。
arXiv:2606.12730v1 Announce Type: new Abstract: Anticipating LLM behavioral tendencies from low-cost psychometric probes is critical for safe deployme…
LLM自述心理特质与实际行为大相径庭，25个模型验证存在“言行不一”的自我报告-行为鸿沟。
arXiv:2606.09843v1 Announce Type: cross Abstract: Large language models (LLMs) produce stable self-reports on personality inventories, but these self-…
用生成式投射测试替代自我报告，让LLM心理测量更可靠，摆脱语料污染与方向性偏差
arXiv:2606.00860v1 Announce Type: cross Abstract: Self-report questionnaires remain the prevailing tool for probing the psychological states of person…