Scholar
Vipul Raheja
Google Scholar ID: -Ap77UMAAAAJ
Google DeepMind
Citations & Impact
Citations
1,034
H-index
14
i10-index
17
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- 2024: Two papers (mEdIT & ContraDoc) accepted to NAACL 2024; two papers (CoBBLER & Threads of Subtlety) accepted to ACL 2024; one paper accepted to the PERSONALIZE Workshop at EACL 2024.
- 2023: Two papers (CoEdIT & Speakerly™) accepted to EMNLP 2023 (Findings and Industry Track); one paper accepted to TrustNLP Workshop @ ACL 2023; co-organized In2Writing Workshop at CHI 2023; invited talks at QCon SF, Data Science Salon SF, NLP Summit 2023, Bugout.dev, and RE-WORK Summit.
- 2022: Papers accepted at EMNLP 2022 and ACL 2022; co-organized In2Writing Workshop at ACL 2022; received Best Paper Award at the workshop.
- 2021: Paper accepted at EACL 2021.
- 2020: Paper accepted at EMNLP 2020.
- Published 'Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks' at EMNLP 2022.
Background
- Currently a Research Scientist at Google DeepMind, working on the Gemini project.
- Research interests lie at the intersection of large language models and controllable text generation for text revision.
- Previously a Research Scientist at Grammarly, where he developed robust and scalable NLP/ML approaches to enhance written communication quality.
- Co-organizes the Workshop on Intelligent and Interactive Writing Assistants (In2Writing).
- Frequently collaborates with Dongyeop Kang and the Minnesota NLP group at the University of Minnesota.
- Previously worked at x.ai on end-to-end Natural Language Understanding (NLU) for conversational AI scheduling assistants.
