法律AI也会“迷之自信”？研究揭示大模型在司法判断中的过度自信陷阱，比你以为的更危险。
arXiv:2608.21089v1 Announce Type: new Abstract: Integrating Large Language Models (LLMs) into the Indian judiciary promises access to justice but intr…
当临床信息不完整时，大模型可能“迷之自信”，这项研究揭示风险并敲响医疗AI安全警钟。
arXiv:2608.09080v1 Announce Type: cross Abstract: Large Language Models (LLMs) have achieved strong performance in medical question answering and clin…
思维链推理预算越高，大模型反而越“迷之自信”？新研究揭示校准漂移现象与CABStop缓解方案
arXiv:2606.11211v1 Announce Type: cross Abstract: The ability of large language models (LLMs) to express calibrated uncertainty is important for safe …
新研究表明指令微调大模型在自评时过度自信，揭示聊天模板对校准的关键影响。
arXiv:2606.03437v1 Announce Type: new Abstract: Prior work has shown that instruction-tuned large language models (LLMs) are less well calibrated than…
Claude 4.8重磅升级：长任务自主执行、数百子智能体并行，错误率暴降10倍，代码缺陷报告减少75%
可以长时间执行任务，人类不用经常回来检查它的工作