Bhuwan Dhingra

Bhuwan Dhingra

Assistant Professor of Computer Science
Duke University
Research Scientist (part-time)
Apple

My research investigates how language models acquire and store knowledge from imperfect, heterogeneous and dynamic sources, and ultimately how we can build epistemic interfaces which communicate this knowledge in a reliable and verifiable manner. I completed my PhD in 2020 from the Language Technologies Institute at Carnegie Mellon University. My thesis advisers were William Cohen and Russ Salakhutdinov. Before that I did Electrical Engineering at IIT Kanpur. Over the years I have also worked at Google Deepmind (2020-24) in the Gemini team and at Qualcomm Research (2014-15).

For current research topics and projects, please visit the DukeNLP lab website.

Updates

4/26 Received a Laude Moonshots honourable mention ($100K) for our proposal on improving civic discourse.
3/26 Invited talks at McGill NLP Seminar, CMU LTI Colloquium, University of Pittsburgh, Johns Hopkins University, and UIUC.
2/26 Our group solved the public games in the ARC-AGI-3 benchmark! blog code
1/26 Two papers accepted at ICLR 2026 and one at EACL 2026. publications
12/25 Received the Thinking Machines Labs Teaching & Research Award.
9/25 Two papers accepted at NeurIPS 2025, one with a spotlight. publications
5/25 Invited talk at Stanford NLP Seminar on "Certainty in the face of ambiguity".
5/25 Paper accepted at ICML 2025. publications
4/25 Papers accepted at ACL 2025, NAACL 2025, ICLR 2025, and COLING 2025. publications
10/24 Papers accepted at NeurIPS 2024, EMNLP 2024, and COLM 2024. publications
8/24 Joined Apple as a Research Scientist on the Foundation Models team.
8/24 Papers accepted at ACL 2024 and LREC-COLING 2024. publications
6/24 Papers accepted at NAACL 2024 Findings. publications
5/24 Spent the summer at Google DeepMind in San Francisco.
4/24 Serving as Program Chair for the 1st South NLP Symposium.
2/24 Gave a lecture on LLMs as part of the UNIV103: Let's talk about digital you course.
1/24 Received a grant from the Learning Engineering Virtual Institute (joint with University of Florida).
12/22 Serving as Senior Area Chair for the Large Language Models track at ACL 2023.
10/22 Received an Amazon Research Award for my proposal titled "Long-form QA via collaborative writing". announcement
8/22 Awarded an NSF Medium grant with Jun Yang and Lavanya Vasudevan. link
9/21 Started at Duke University.

Group

PhD Students

  1. Raghuveer Thirukovalluru
  2. Ghazal Khalighinejad
  3. Sanxing Chen
  4. Junlin Wang
  5. Roy Xie
  6. Yukun Huang
  7. Weili Cao
  8. Xunjian Yin

Alumni

Prospective Students

Teaching

Invited Talks

Videos for some of the talks below are in this youtube playlist.

Publications

Please see my Google Scholar page for the most up-to-date list. Code, data or any other resources for the recent papers is available at the DukeNLP website.

2026

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016 and earlier

(* Equal Contribution)

Preprints

Patents