个人信息
教师姓名:蔡璐璐
教师英文名称:Lulu Cai
教师拼音名称:Cai Lulu
电子邮箱:cailulu@med.uestc.edu.cn
学历:博士研究生毕业
性别:女
联系方式:cailulu@med.uestc.edu.cn
学位:工学博士学位
职称:教授
博士生导师
曾获荣誉:国家高层次青年人才,四川省青年五四奖章,四川省杰出青年基金,四川省医学科技奖一等奖,四川省学术技术带头人后备人,四川省高层次海外留学人才。中国抗癌协会纳米肿瘤学分会委员、中国医药生物技术协会纳米技术分会委员、四川省药学会纳米药物专委会副主任委员,Signal Transduct Target Ther和Asian J Pharm Sci等SCI杂志(青年)编委。
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所属院系: 医学院
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学科:生物医学工程
药剂学
其他联系方式
通讯/办公地址:
邮箱:
论文成果
Exploring the Potential of an End-to-End AI Design Framework for Photoresponsive Drug Delivery
发布时间:2026-06-02 点击次数:
所属单位:[1] Shanghai Academy of AI for Science [2]Ningxia University [3]Imperial College London ...
发表刊物:Biomedical Optics Express
摘要:In our effort to more reliably leverage large language models for designing effective photoresponsive molecular materials for drug delivery, we developed the Explanation CPO (XCPO), an end-to-end reinforcement learning fine-tuning workflow. The maturity of RLHF techniques has greatly stimulated the flourishing application of general-purpose LLMs across various scientific domains. Compared with representative RLHF approaches like CPO, our XCPO emphasizes the potential and effectiveness of a fully AI-driven, end-to-end fine-tuning process. In this workflow, the preference dataset for RLFT ...
卷号:16
期号:1
页面范围:2232–2242
ISSN号:2156-7085
是否译文:否

