Brihi Joshi

I am a second-year CS PhD student at the University of Southern California, advised by Prof. Xiang Ren as a part of the NLP Group and INK Research Lab. My research interests lie in developing explainable and label-efficient methods for diverse NLP tasks, using insights from human communication. Find more details about it in the research tab!

Prior to this, I was an Analyst at Goldman Sachs where I worked with the Regulatory Engineering team. Even before that, I graduated with a Bachelors in Computer Science from IIIT Delhi in December, 2020, where I completed my thesis as a part (and founding member) of the Laboratory for Computational Social Systems (LCS2).

Apart from pursuing my academic interests, I am extremely passionate about serving the community. I used to co-lead the Delhi chapter of Women Who Code Delhi, which is an organisation that works towards diversity and inclusion of women in tech, for more than 5 years. Currently, I am one of the organizers of the NLP with Friends, which is an online NLP seminar for and by students. I am a huge advocate of diversity in CS Research, and always looking for opportunities to support them! I am also a musician by passion and absolutely love singing and composing music. I’ve tried my hands at 3 instruments (and I plan to master some, explore more). Head over to the outreach tab for more details!


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!
🕰️ all news...