Brihi Joshi

I am a 4th year CS PhD Candidate at the University of Southern California, advised by professors Xiang Ren and Swabha Swayamdipta as a part of the NLP Group, INK Lab and Dill Lab. I am also interning part-time at Apple, with Tim Paek and Rik Koncel-Kedziorski.

Broadly, my research interests lie in human-centred perspectives in understanding and evaluating foundation models. Specifically, I am looking at how useful LLMs are for different users. My research is supported by the USC Annenberg, 2023 Amazon ML and 2024 Apple Scholars in AI/ML Fellowships.

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 where I did research with Laboratory for Computational Social Systems (LCS2), Snap Research and IBM Research India.

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 was 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. I am a huge advocate of diversity in CS Research and general mentoring, and always looking for opportunities to support them! Head over to the outreach & mentorship tab for more details! I am also a musician by passion and absolutely love singing and composing music. I’ve tried my hands at multiple instruments (and I plan to master some, explore more).

news

Sep 2024 OATH-Frames led by Jaspreet (and also my first truly interdisciplinary work) got accepted to EMNLP 2024 Main! 👏🏼
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!
🕰️ all news...