miscellaneous activities.

all news

May 2024 Started as an ML Research Intern at Apple in Seattle! Super excited to work on interesting problems in Humans x LLMs 🙌🏽
Mar 2024 Awarded the 2024 Apple Scholars in AI/ML PhD fellowship! 🥺
Jan 2024 MaRio accepted at ICLR 2024! See you in Vienna!! 🙌🏽
Nov 2023 Excited to share our new work led by Sahana, on improving the quality of rationales generated by small LMs!
Oct 2023 Passed my PhD Quals! Officialy a PhD Candidate now :D
Oct 2023 Gave a talk at the USC-Amazon Centre on Trusted AI about Human-Centred Operationalization of Model Explanations!
Jul 2023 Honoured to be awarded the Amazon ML PhD Fellowship for 2023-24! 🥺
May 2023 Started as an Applied Scientist Intern at Amazon Alexa 🎉 Excited to explore the greater Boston area and work with the NLG Team!
May 2023 XMD got accepted to ACL Demo Track 2023! 🎉
May 2023 Our human utility project got accepted to ACL (Main Conference) 2023! See you in Toronto! 🎉🍾
Dec 2022 Excited to share a new preprint on measuring human utility of free-text rationales, that I co-led with Ziyi!
Dec 2022 New preprint, 🔪 KNIFE, on learning from free-text rationales is out! Happy to have collaborated with Aaron and Zhiyuan who led the work!
Oct 2022 ER-Test is now accepted at EMNLP 2022 as a Findings Paper! I will be presenting it at the BlackboxNLP workshop on 12/08!
Oct 2022 Our proposal with Aaron and Xiang, on Utilizing Explanations for Model Refinement got the Alexa: Fairness in AI award!
Aug 2022 New demo paper XMD out!
May 2022 Our workshop Broadening Research Collaborations in ML was accepted at NeurIPS 2022!
May 2022 Full version of ER-Test: Evaluating Explanation Regularization Methods for NLP Models is out! Super excited to share my first work as a PhD student! 😩
May 2022 ER-Test is accepted to the TrustNLP workshop @ NAACL 2022! Excited to present this at Seattle!
Oct 2021 Received the Indian National Academy of Engineering (INAE) student project award for my undergraduate thesis!
Aug 2021 Started my PhD at USC! Very fortunate to be advised by Prof. Xiang Ren!