Smartor.AI
Domain-specific LLM Services, Chatbot,
Software and Solutions.
Who We Are
At Smartor, we are pioneers in the realm of Artificial Intelligence, specifically in the application of Large Language Models (LLMs) to specialized domains. Our company is the culmination of the brightest minds in AI, software development, and domain expertise, united by a shared vision of transforming industry-specific communication and data handling through advanced technology.
Our team is comprised of a diverse group of professionals ranging from AI researchers and machine learning engineers to domain specialists and seasoned software developers. Together, we create bespoke AI-driven tools that enhance the capabilities of businesses and institutions in the medical and educational fields.
Use Cases
LLMs for Medical
Question-Answering
LLMs for Scientific Scenarios
Team
Dr.Irene LiAssistant Prof. University of Tokyo
Graduated from Yale University with a Ph.D. in Natural Language Processing.
Founder of LiLab.
Dr. Jinghui LuGraduated from University College Dublin with a Ph.D. in Natural Language Processing.
Rui YangMSc graduated from Duke-NUS Medical School.
Experienced in medical text processing and web development.
Boming YangMSc graduated from the University of Tokyo.
Experienced in Large Language Models and software development.
Yunlu ZhangFinancial reporting and budget management.
Weijun LiCertified legal advisor, offers expert guidance in legal matters.
Any legal issues, please also contact info@smartor.me.
Research
Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation
Rui Yang, Qingcheng Zeng, Keen You, Yujie Qiao, Lucas Huang, Chia-Chun Hsieh, Benjamin Rosand, Jeremy Goldwasser, Amisha D Dave, Tiarnan D.L. Keenan, Emily Y Chew, Dragomir Radev, Zhiyong Lu, Hua Xu, Qingyu Chen, Irene Li;
Evaluating Large Language Models on Wikipedia-Style Survey Generation
Fan Gao, Hang Jiang, Rui Yang, Qingcheng Zeng, Jinghui Lu, Moritz Blum, Dairui Liu, Tianwei She, Yuang Jiang and Irene Li;
KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques
Rui Yang, Haoran Liu, Qingcheng Zeng, Yu He Ke, Wanxin Li, Lechao Cheng, Qingyu Chen, James Caverlee, Yutaka Matsuo and Irene Li;
Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education
Rui Yang, Boming Yang, Sixun Ouyang, Tianwei She, Aosong Feng, Yuang Jiang, Freddy Lecue, Jinghui Lu and Irene Li;
What Makes Pre-trained Language Models Better Zero-shot Learners?
Jinghui Lu, Dongsheng Zhu, Weidong Han, Rui Zhao, Brian Mac Namee and Fei Tan;
Better Explain Transformers by Illuminating Important Information
Linxin Song, Yan Cui, Ao Luo, Freddy Lecue and Irene Li;
PUnifiedNER: A Prompting-based Unified NER System for Diverse Datasets
Jinghui Lu, Rui Zhao, Brain Mac Namee and Fei Tang;
HiPool: Modeling Long Documents Using Graph Neural Networks
Irene Li, Aosong Feng, Dragomir Radev and Rex Ying;