Danish Pruthi
Assistant Professor
Computational and Data Sciences (CDS)
Indian Institute of Science (IISc), Bangalore
Office: CDS 401 (see directions)

Hey! I am Danish Pruthi, I am an assistant professor at the Indian Institute of Science (IISc), Bangalore. At IISc, I guide an NLP group focused on inclusive evaluation, model control (e.g., editing, de-biasing, or personalizing trained models), and also on inspecting and validating data sources (in response to biased or harmful behavior). I hope to also work on important NLP applications, e.g., content moderation, assisted writing, etc. Lastly, I am also interested in understanding the broader societal implications of language technologies.

I received my PhD from CMU, where I was co-advised by Zachary C. Lipton and Graham Neubig. My doctoral research focused on addressing issues concerning the interpretability of deep learning models. I completed my bachelors degree in computer science from BITS Pilani, Pilani in 2015. I've also spent time doing research at Google AI, Microsoft Research, Facebook AI Research, and Amazon AI. I am a recipient of the Siebel Scholarship and the CMU Presidential Fellowship.

I am looking for 1-2 PhD students & summer interns, more details are here.

News & Activities

  • [New] Honored to receive the AI2050 Early Career Fellowship.
  • Jan 28-Feb 2: Excited to attend the Dagstuhl Seminar on Peer Review.
  • Dec 21, 2023: Delivered a tutorial on Watermarking LLMs at IndoML 2023.
  • Dec 6, 2023: Participated in a Fireside chat at Capital One's ML conference.
  • Nov 25, 2023: Excited to be on a panel for Flipkart's Billion AI India event.
  • Oct 28, 2023: Organizing a workshop on Generative AI.
  • Oct 9-10, 2023: Attending the BiNDI Summit.
  • Sept 1, 2023: Talk at Google Research, India.
  • Aug 31, 2023: Speaking at Samsung at their annual networking meeting.
  • Aug 29, 2023: Talk at Microsoft Research (MSR), Bangalore.
  • June 14, 2023: Talk at Adobe, India.
  • May 1, 2023: Joined the Indian Institute of Science in Bangalore.
  • April 20, 2023: Speaking at the Stanford NLP Seminar.
  • April 18, 2023: Talk at USC.
  • April 17, 2023: Talk at UC Irvine.
  • Dec 16, 2021: Successfully defended my PhD thesis.
  • Follow up work on a crowdsourced study to evaluate explanations is accepted at AAAI.
  • Our framework to evaluate explanations is accepted for publication at TACL.
  • Dec 2020: Serving as a panelist for a discussion on higher education at IIT Jodhpur.
  • Sept 2020: Talking about our work at Twitter, Inc.
  • July 2020: A panelist on session for undergraduate student researchers at ACL 2020.
  • May 2020: Excited to intern with Dr. William Cohen this summer at Google AI in Pittsburgh.
  • Work on learning to deceive with attention based explanations is accepted to ACL 2020.
  • Jan 2020: Speaking about our work at IIT Delhi and BITS Pilani.
  • Work on adversarial spelling mistakes and their defenses is accepted at ACL 2019.
  • Summer 2019: Interning at Facebook AI Research w/ Dr. Brenden Lake and Dr. Marco Baroni
  • Oct 2018: Received athe PwC CMU Presidential Fellowship. Thank you, PwC!
  • Feb 2018: Our work on Semi-Supervised QA is accepted at NAACL 2018
  • Jan 2018: Speaking about our work at IISc Bangalore
  • Dec 2017: Conducting a training camp at BITS Goa to assist students for job search.
  • Nov 2017: Our work on interpretable neural embeddings is accepted at AAAI
  • Sep 2017: Awarded the Siebel Scholarship. Thanks Siebel Foundation!
  • Aug 2017: Won the best poster, and best presentation (honourable mention) award at LTI Student Research Symposium (SRS)
  • Spring 2017: TA'ed for Introduction to Machine Learning (PhD) 10-701.
  • Aug 2016: Joined CMU for my graduate studies
  • June 30, 2016: Completed an exciting year at MALL Lab
  • May 19, 2016: Presented our work at ICWSM in Cologne!
  • Feb 27, 2016: Our work on 'How to pose questions?' got accepted as a full paper for ICWSM'16