Scholar
Jane Yu
Google Scholar ID: ev8Ilx0AAAAJ
OpenAI
Citations & Impact
Citations
6,329
H-index
20
i10-index
33
Publications
20
Co-authors
32
list available
Publications
Resume (English only)
Academic Achievements
- Toolformer: Language Models Can Teach Themselves to Use Tools, NeurIPS 2023 [Oral Presentation]
- ROBBIE: Robust Bias Evaluation of Large Generative Language Models, EMNLP 2023
- Active Retrieval Augmented Generation, EMNLP 2023
- Active Learning Principles for In-Context Learning with Large Language Models, EMNLP Findings 2023
- Augmented Language Models: a Survey, TMLR 2023
- Atlas: Few-shot Learning with Retrieval Augmented Language Models, JMLR 2023
- NormBank: A Knowledge Bank of Situational Social Norms, ACL 2023
- TimelineQA: A Benchmark for Question Answering over Timelines, ACL Findings 2023
- Learnings from Data Integration for Augmented Language Models
- Improving Wikipedia Verifiability with AI, Nature Machine Intelligence 2023
- Using Comments for Predicting the Affective Response to Social Media Posts, ACII 2023
- Consequences of Conflicts in Online Conversations, ICWSM 2024 (Under Review)
- Selective whole-genome amplification reveals population genetics of Leishmania braziliensis directly from patient skin biopsies
Research Experience
- Works at FAIR (Meta) focusing on enhancing the reasoning capabilities of large language models.
Education
- Completed her Ph.D. in 2019 at UC Berkeley, focusing on computational tools for immune repertoire characterization and primer set design, advised by Professor Yun S. Song; received her Bachelor of Arts and Sciences in both Computer Science and Chemistry in 2014 from Cornell University.
Background
- A researcher at FAIR in Meta, working on improving the reasoning capabilities of large language models. Before that, she was a Ph.D. student in the EECS department at the University of California, Berkeley.
