Aakanksha Chowdhery

Researcher, Reflection AI

Joined

May 2021

Names

Aakanksha Chowdhery (Preferred)

Emails

****@google.com (Confirmed)

****@alumni.stanford.edu (Confirmed)

****@stanford.edu (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Researcher

Reflection AI (reflection.ai)

2025 – Present

Instructor

Computer Science Department, Stanford University (cs.stanford.edu)

2025 – 2025

Researcher

Meta (meta.com)

2024 – 2024

Researcher

Google (google.com)

2018 – 2024

Researcher

Princeton University (princeton.edu)

2016 – 2017

Researcher

Research, Microsoft (research.microsoft.com)

2013 – 2015

Researcher

Stanford University (stanford.edu)

2007 – 2013

Advisors, Relations & Conflicts

No relations added

Expertise

Large Language Models

Present

Efficient Models

Present

Reinforcement Learning

Present

Publications

Transcending Scaling Laws with 0.1% Extra Compute
Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David So, Siamak Shakeri, Xavier Garcia, Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V Le, Mostafa Dehghani
- EMNLP 2023 Main
- Readers: Everyone
Understanding HTML with Large Language Models
Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin V Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, Aleksandra Faust
- EMNLP 2023 Findings
- Readers: Everyone
Understanding HTML with Large Language Models
Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin V Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, Aleksandra Faust
- Published: 04 Mar 2023, Last Modified: 16 May 2023
- ME-FoMo 2023 Poster
- Readers: Everyone
PaLM-E: An Embodied Multimodal Language Model
Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, brian ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng et al. (2 additional authors not shown)
- ICML 2023 Poster
- Readers: Everyone
UNDERSTANDING HTML WITH LARGE LANGUAGE MODELS
Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin V Huang, Sharan Narang, Aakanksha Chowdhery, Noah Fiedel, Aleksandra Faust
- Published: 01 Feb 2023, Last Modified: 13 Feb 2023
- Submitted to ICLR 2023
- Readers: Everyone
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc V Le, Ed H. Chi, Sharan Narang, Aakanksha Chowdhery, Denny Zhou
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone
Sparse is Enough in Scaling Transformers
Sebastian Jaszczur, Aakanksha Chowdhery, Afroz Mohiuddin, Lukasz Kaiser, Wojciech Gajewski, Henryk Michalewski, Jonni Kanerva
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
Hussein Hazimeh, Zhe Zhao, Aakanksha Chowdhery, Maheswaran Sathiamoorthy, Yihua Chen, Rahul Mazumder, Lichan Hong, Ed Chi
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone

Co-Authors

View all 60 co-authors