Scholar
Madian Khabsa
Google Scholar ID: V9JYPP0AAAAJ
GenAI, Meta
Citations & Impact
Citations
35,917
H-index
31
i10-index
58
Publications
20
Co-authors
13
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'Unipelt: A unified framework for parameter-efficient language model tuning' (ACL 2022); 'Quantifying Adaptability in Pre-trained Language Models with 500 Tasks' (arXiv preprint, 2021); 'Sparse Distillation: Speeding Up Text Classification by Using Bigger Models' (arXiv preprint, 2021), etc.
Research Experience
- Before joining Meta (formerly Facebook), worked at Apple on question answering for Siri. Prior to that, was at Microsoft Research, researching, designing, and shipping new AI experiences across multiple products including Bing, Outlook, and Dynamics.
Education
- PhD in Computer Science and Engineering, minor in Statistics; University: The Pennsylvania State University; Advisor: Lee Giles; Year: 2015; Projects: CiteSeerX, etc.
Background
- Research interests: artificial intelligence, natural language processing, and machine learning. Biography: Currently a research scientist manager at Meta AI, working on building content understanding services based on large foundational models.
Miscellany
- Contact: me@madiankhabsa.com; Address: 1101 Dexter Ave N, Seattle, WA 98109
