北京雁栖湖应用数学研究院 北京雁栖湖应用数学研究院

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关于我们
院长致辞
理事会
协作机构
参观来访
人员
管理层
科研人员
博士后
来访学者
行政团队
学术支持
学术研究
研究团队
公开课
讨论班
招生招聘
教研人员
博士后
学生
会议
学术会议
工作坊
论坛
学院生活
住宿
交通
配套设施
周边旅游
新闻
新闻动态
通知公告
资料下载
清华大学 "求真书院"
清华大学丘成桐数学科学中心
清华三亚国际数学论坛
上海数学与交叉学科研究院
BIMSA > BIMSA Computational Math Seminar A Journey of Large Foundation Models in Science: Language, Multi-Modality and Agent
A Journey of Large Foundation Models in Science: Language, Multi-Modality and Agent
组织者
胡丕丕 , 梁鑫 , 马志婷 , 哈米德·莫菲迪 , Axel G.R. Turnquist , 王丽 , 熊繁升 , 杨朔 , 杨武岳
演讲者
罗人千
时间
2025年10月23日 13:00 至 14:00
地点
Online
线上
Zoom 518 868 7656 (BIMSA)
摘要
Large foundation models are transforming the landscape of scientific discovery by bridging natural language understanding, multimodal perception, and autonomous reasoning. This talk presents Dr. Luo's work of large pretrained language models in science, with a focus on their applications across biomedicine, materials science, and molecular design. Beginning with BioGPT, an early domain-specific generative transformer for biomedical text mining, we further introduce the developement of NatureLM, a generalist foundation model across diverrse domains in science, and analyze how scaling laws and prompt-based adaptation enable cross-domain generalization. We then move forward to multimodality in science and introduce UniGenX, a unified multimodal framework that represents both symbolic and numerical scientific data as sequences, supporting high-precision generation of 3D molecular and material structures. Finally, we discuss the Science Copilot Agent, a multi-agent system that integrates large models, scientific computation, and human feedback to assist end-to-end scientific workflows—from hypothesis generation to experimental design. Together, these advances illustrate the emerging paradigm of AI-accelerated science, where foundation models act not only as language models, but as universal scientific engines.
演讲者介绍
Dr. Renqian Luo was a Senior Researcher at Microsoft Research. He obtained his PhD from University of Science and Technology of China in 2021, in a joint program with Microsoft Research Asia. He has devoted himself into artificial intelligence research and development in machine learning, deep learning, natural language processing, large language model and foundation model. He has published many papers on top conferences or journals like NeurIPS, ICML, EMNLP, SIDKDD, ICASSP, Briefings in bioinformatics with 4000+ citations. His representative works include BioGPT, MedPrompt, NAO, NAS-BERT, LightSpeech, etc. His BioGPT and MedPrompt are widely reported and bring high impact to the community.
北京雁栖湖应用数学研究院
CONTACT

No. 544, Hefangkou Village Huaibei Town, Huairou District Beijing 101408

北京市怀柔区 河防口村544号
北京雁栖湖应用数学研究院 101408

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