Scholar
Jessy Lin
Google Scholar ID: jTMUPNkAAAAJ
UC Berkeley
Citations & Impact
Citations
2,636
H-index
8
i10-index
7
Publications
12
Co-authors
6
list available
Publications
Resume (English only)
Academic Achievements
- Continual Learning via Sparse Memory Finetuning
- Learning Facts at Scale with Active Reading
- Learning to Model the World with Language (ICML 2024 oral, top 1.5%)
- Decision-Oriented Dialogue for Human-AI Collaboration (TACL/ACL 2024, LLM Agents @ ICLR 2024)
- InCoder: A Generative Model for Code Infilling and Synthesis (ICLR 2023 spotlight, top 6%)
- Automatic Correction of Human Translations (NAACL 2022 Best Task Paper, Best Resource Paper, Best Theme Paper Honorable Mention)
- UniMASK: Unified Inference in Sequential Decision Problems (NeurIPS 2022 oral, top 1.8%)
Research Experience
- Worked on research and product at Lilt, focusing on continual adaptation and human-in-the-loop machine translation; spent a summer with the Natural Language Understanding group at Google Research NY working on long-context memory architectures.
Education
- Double-major in Computer Science and Philosophy from MIT, where she conducted research with the Computational Cognitive Science Group, advised by Kelsey Allen and Josh Tenenbaum; PhD student at Berkeley AI Research, advised by Anca Dragan and Dan Klein.
Background
- Aiming to build AI that can augment humans, making people smarter and able to accomplish things they couldn’t do before. Research interests include interactive models, collaborative environments, and continual learning & memory.
Miscellany
- Blog, Photography, Fun
