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ORCIDVarun Nair
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2020 – today
- 2024
[c8]Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan:
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents. ClinicalNLP@NAACL 2024: 122-161- [c7]Albert Yu Sun, Varun Nair, Elliot Schumacher, Anitha Kannan:
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants. NAACL-HLT 2024: 4009-4030 - 2023
- [c6]Varun Nair, Elliot Schumacher, Anitha Kannan:
Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models. ClinicalNLP@ACL 2023: 200-217 - [i7]Varun Nair, Elliot Schumacher, Geoffrey J. Tso, Anitha Kannan:
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents. CoRR abs/2303.17071 (2023) - [i6]Albert Yu Sun, Varun Nair, Elliot Schumacher, Anitha Kannan:
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants. CoRR abs/2304.14364 (2023) - [i5]Varun Nair, Elliot Schumacher, Anitha Kannan:
Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models. CoRR abs/2305.05982 (2023) - [i4]Elliot Schumacher, Daniel Rosenthal, Varun Nair, Luladay Price, Geoffrey J. Tso, Anitha Kannan:
Extrinsically-Focused Evaluation of Omissions in Medical Summarization. CoRR abs/2311.08303 (2023) - 2021
- [c5]Yi-Lin Sung, Varun Nair, Colin Raffel:
Training Neural Networks with Fixed Sparse Masks. NeurIPS 2021: 24193-24205 - [i3]Varun Nair, Namit Katariya, Xavier Amatriain, Ilya Valmianski, Anitha Kannan:
Adding more data does not always help: A study in medical conversation summarization with PEGASUS. CoRR abs/2111.07564 (2021) - [i2]Yi-Lin Sung, Varun Nair, Colin Raffel:
Training Neural Networks with Fixed Sparse Masks. CoRR abs/2111.09839 (2021) - 2020
- [c4]Varun Nair, Paul Rhee, Jichen Yang
, Bohao Huang, Kyle Bradbury, Jordan M. Malof:
Designing Synthetic Overhead Imagery to Match a Target Geographic Region: Preliminary Results Training Deep Learning Models. IGARSS 2020: 948-951 - [c3]Wei Hu, Ben Alexander, Wendell Cathcart, Atsushi Hu, Varun Nair, Lin Zuo, Jordan M. Malof, Leslie M. Collins, Kyle Bradbury:
Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning. IGARSS 2020: 2229-2232
2010 – 2019
- 2019
- [j1]Varun Nair, Remco Litjens, Haibin Zhang:
Optimisation of NB-IoT deployment for smart energy distribution networks. EURASIP J. Wirel. Commun. Netw. 2019: 186 (2019) - [i1]Varun Nair, Javier Fuentes Alonso, Tony Beltramelli:
RealMix: Towards Realistic Semi-Supervised Deep Learning Algorithms. CoRR abs/1912.08766 (2019) - 2018
- [c2]Varun Nair, Remco Litjens, Haibin Zhang:
Assessment of the Suitability of NB-IoT Technology for ORM in Smart Grids. EuCNC 2018: 418-423 - 2013
- [c1]S. Indu, Varun Nair, Shashwat Jain, Santanu Chaudhury:
Video based adaptive road traffic signaling. ICDSC 2013: 1-6
Coauthor Index
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