Vipul R.

Research Scientist at Grammarly

Vipul Raheja is an Applied Research Scientist at Grammarly, specializing in Natural Language Processing (NLP) and Machine Learning (ML). His work focuses on enhancing the quality of written communication through innovative approaches, particularly in the domains of controllable text generation and iterative text revision. He is also involved in co-organizing the Workshop on Intelligent and Interactive Writing Assistants (In2Writing), which promotes research in writing assistance technologies.

Educational Background

Master's Degree from Columbia University, where he was advised by Professors Luis Gravano and Tony Jebara.
Dual Bachelor's and Master's Degree in Computer Science from IIIT Hyderabad, under the guidance of Professor K. S. Rajan.

Research Contributions

Vipul has made significant contributions to the field, with multiple papers accepted at prestigious conferences such as NAACL, ACL, and EMNLP. Some notable works include:

IteraTeR: A large-scale dataset for understanding iterative text revision.
CoEdIT: Focused on task-specific instruction tuning for text editing.
Papers on topics like grammatical error correction and human-in-the-loop text revision.

Professional Experience

Before joining Grammarly, Vipul worked at x.ai, where he developed end-to-end Natural Language Understanding systems for conversational AI. His collaborative work often involves researchers from institutions like the University of Minnesota.