Publications
MED-OMIT: Extrinsically-Focused Evaluation Metric for Omissions in Medical Summarization
E. Schumacher, D. Rosenthal, D. Naik, V. Nair, L. Price, G. Tso, A. Kannan
GenAI for Health: Potential, Trust and Policy Compliance, NeurIPS (2024)
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants
A. Sun, V. Nair, E. Schumacher, A. Kannan
arXiv preprint (2023)
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents
V. Nair*, E. Schumacher, G. Tso, A. Kannan
arXiv preprint (2023)
Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models
V. Nair*, E. Schumacher, A. Kannan
ACL Workshop for Clinical NLP (2023)
Training Neural Networks with Fixed Sparse Masks
V. Nair*, Y. L. Sung*, C. Raffel
NeurIPS (2021)
Adding more data does not always help: A study in medical conversation summarization with PEGASUS
V. Nair*, N. Katariya, I. Valmianski, X. Amatriain, A. Kannan
NeurIPS ML4Health Workshop (2021)
Improving UI Layout Understanding with Hierarchical Positional Encodings
J. Lee*, C. Johnson*, V. Nair
Towards Data Science (2021)
From Research to Production with Deep Semi-Supervised Learning
V. Nair
Towards Data Science (2020)
Mapping Energy Infrastructure in Aerial Imagery with Deep Learning
W. Hu*, K. Bradbury, B. Alexander, W. Cathcart, X, Hu, V. Nair, L. Zuo
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (2020)
RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms
V. Nair*, J. F. Alonso, T. Beltramelli
arXiv preprint (2019)