Bhuwan Dhingra
Scholar

Bhuwan Dhingra

Google Scholar ID: SLISZFAAAAAJ
Assistant Professor, Computer Science, Duke University
Natural Language Processing
Citations & Impact
All-time
Citations
6,492
 
H-index
32
 
i10-index
49
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • - Published paper 'Learning the Legibility of Visual Text Perturbations' at EACL 2023
  • - Received a grant from the Learning Engineering Virtual Institute (joint with the University of Florida) in January 2024
  • - Three new papers appearing at EACL 2023 and one at CHI 2023 (first!)
  • - Served as Senior Area Chair for the Large Language Models track at ACL 2023
  • - Received an Amazon Research Award for the proposal titled 'Long-form QA via collaborative writing' in October 2022
  • - Awarded an NSF Medium grant with Jun Yang and Lavanya Vasudevan in August 2022
  • - Received a gift from P&G for exploring search interfaces based on concept graphs in June 2022
  • - Received a gift from Google for exploring NLP tools to combat misinformation in October 2021
  • - Organized the 2nd workshop on Structured & Unstructured KBs at AKBC2021 in October 2021
  • - New preprint on evaluating explanations in December 2020
  • - New preprint on time-aware language models in July 2021
Research Experience
  • - Started at Duke University in September 2021
  • - Joined Google AI (Seattle) in July 2020
  • - Worked at Qualcomm Research (San Diego)
  • - Teaching CS572: Introduction to NLP (graduate) in Spring 2024 at Duke University
  • - Taught CS590: Generative Models (graduate) in Fall 2023 at Duke University
  • - Taught CS572: Introduction to NLP (graduate) in Fall 2022 at Duke University
  • - Co-taught CS590: Advanced NLP (graduate) with Sam Wiseman in Spring 2022 at Duke University
  • - Co-taught CS590: Introduction to NLP (graduate) with Sam Wiseman in Fall 2021 at Duke University
Education
  • - PhD, 2020 from the Language Technologies Institute at Carnegie Mellon University, advisors: William Cohen and Russ Salakhutdinov
  • - Electrical Engineering at IIT Kanpur, advisor: Amitabha Mukerjee
Background
  • - Research interests include question answering and information retrieval, reasoning over structured and unstructured knowledge, robustness to corrupted text inputs, misinformation / propaganda detection, model calibration for inherently subjective NLP tasks
  • - Assistant Professor of Computer Science at Duke University
  • - Research Scientist at Google Deepmind
Miscellany
  • - Personal hobbies and interests not mentioned