从混合模型视角重新定义LLM集成，提出新理论框架，ICML 2026 Spotlight论文
arXiv:2605.00419v2 Announce Type: replace Abstract: Model ensembling is a well-established technique for improving the performance of machine learning…
长上下文LLM无需重训练即可轻松转为混合模型，LightTransfer方法实现高效适配，论文被TMLR 2025收录。
arXiv:2410.13846v3 Announce Type: replace-cross Abstract: Scaling language models to handle longer contexts introduces substantial memory challenges d…
用混合数字孪生+LSTM实现1型糖尿病长期血糖预测，精准度突破现有方法。
arXiv:2605.16860v1 Announce Type: new Abstract: Accurate long-horizon glucose forecasting is critical for automated insulin delivery systems, which he…