- 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