Scholar
Akari Asai
Google Scholar ID: gqB4u_wAAAAJ
Allen Institute for AI, Carnegie Mellon University
Citations & Impact
Citations
6,469
H-index
28
i10-index
34
Publications
20
Co-authors
23
list available
Publications
Resume (English only)
Academic Achievements
- Publications: ACL 2023, NeurIPS 2024, NAACL 2022, etc.
- Awards: Forbes 30 Under 30 Asia in Science, MIT Technology Review Innovators Under 35 from Japan, EECS Rising Stars, IBM Global Ph.D. Fellows
- Projects: Ai2 OpenScholar Public Demo, assisting over 30k scientists across scientific disciplines to synthesize scientific literature more effectively
Research Experience
- Research Experience: During her Ph.D. at the University of Washington, pioneered Retrieval-Augmented LMs to address hallucinations and improve computational efficiency. Worked as a visiting student researcher at Meta AI Research.
Education
- Ph.D. in NLP from Paul G. Allen School of Computer Science & Engineering, University of Washington, advised by Prof. Hannaneh Hajishirzi
- Visiting Student Researcher at Meta AI Research, supervised by Dr. Wen-tau Yih
- B.E. in Electrical Engineering and Computer Science from The University of Tokyo, Japan
Background
- Research Interests: Natural Language Processing and Machine Learning, with a focus on Large Language Models (LLMs)
- Professional Field: Natural Language Processing, Machine Learning
- Summary: Incoming Assistant Professor at Carnegie Mellon University and a Research Scientist at the Allen Institute for AI. Focuses on addressing the limitations of LLMs through retrieval-augmented approaches.
Miscellany
- Personal Interests: Hosts weekly office hours every Friday to support research beginners, Ph.D. applicants, or job seekers; shares application materials such as research statements, teaching statements, and diversity statements
