My group works on machine learning for natural language processing and knowledge representation. 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, where I worked with Amitabha Mukerjee. In between I worked at Qualcomm Research in San Diego, USA.
Current topics of interest include:
|Three new papers appearing at EACL 2023 and one at CHI 2023 (my first!). publications
|Serving as Senior Area Chair for the Large Language Models track at ACL 2023.
|Received an Amazon Research Award for my proposal titled "Long-form QA via collaborative writing". announcement
|Awarded an NSF Medium grant with Jun Yang and Lavanya Vasudevan. link
|Recieved a gift from P&G for exploring search interfaces based on concept graphs.
|Received a gift from Google for exploring NLP tools to combat misinformation.
|Invited talk at UNC Chapel Hill on "Language models as Structured KBs". slides
|Organizing the 2nd workshop on Structured & Unstructured KBs at AKBC2021.
|Teaching CS590.03: Introduction to NLP with Sam Wiseman.
|Started at Duke University.
|New preprint on time-aware language models.
|New preprint on evaluating explanations.
|Joined Google AI in Seattle.
|Invited talks at IIT Delhi, UMass Amherst and USC.
|Invited talks at Stanford and UC Irvine. details