不用繁琐标注，借专家知识引导大模型互问互答，临床文本增强有了更聪明的协作范式。
arXiv:2509.21530v2 Announce Type: replace Abstract: Data augmentation is a widely used strategy to improve model robustness and generalization by enri…
探究大语言模型嵌入空间能否复现专家知识结构，为理解模型内部表示提供前沿视角
arXiv:2606.23394v1 Announce Type: new Abstract: Pretrained text embeddings are increasingly used as representational maps, yet high category separabil…
一键保存你的日常经验模式，秒级注入LLM agent，打造专属AI专家层
Hi HN, My number one frustration with LLM agents is that every session starts blank and I have to re-explain my patterns and conventions every time. I…
自蒸馏让大模型在难题上学会专家推理，摆脱依赖更强模型或采样正确解的局限
arXiv:2602.02405v2 Announce Type: replace-cross Abstract: Improving the reasoning capabilities of large language models (LLMs) typically relies either…
提出一种通过专家知识蒸馏自动生成AI技能的新方法，为智能体能力拓展提供创新思路
arXiv:2605.31264v1 Announce Type: new Abstract: LLM agents are increasingly expected not only to complete isolated tasks, but also to carry bounded re…