1 code implementation • 25 Jun 2024 • USVSN Sai Prashanth, Alvin Deng, Kyle O'Brien, Jyothir S V, Mohammad Aflah Khan, Jaydeep Borkar, Christopher A. Choquette-Choo, Jacob Ray Fuehne, Stella Biderman, Tracy Ke, Katherine Lee, Naomi Saphra
Memorization in language models is typically treated as a homogenous phenomenon, neglecting the specifics of the memorized data.
no code implementations • 28 May 2024 • Nicklas Hansen, Jyothir S V, Vlad Sobal, Yann Lecun, Xiaolong Wang, Hao Su
Whole-body control for humanoids is challenging due to the high-dimensional nature of the problem, coupled with the inherent instability of a bipedal morphology.
no code implementations • 28 Dec 2023 • Jyothir S V, Siddhartha Jalagam, Yann Lecun, Vlad Sobal
The enduring challenge in the field of artificial intelligence has been the control of systems to achieve desired behaviours.
no code implementations • 30 May 2023 • Jyothir S V, Zuhaib Akhtar
In the research community, very little focus is on how humans generate answers to a question and how this behavior can be incorporated in a language model.
no code implementations • 23 May 2023 • Huda Khayrallah, Zuhaib Akhtar, Edward Cohen, Jyothir S V, João Sedoc
We release MMSMR, a Massively Multi-System MultiReference dataset to enable future work on metrics and evaluation for dialog.
1 code implementation • 20 Nov 2022 • Vlad Sobal, Jyothir S V, Siddhartha Jalagam, Nicolas Carion, Kyunghyun Cho, Yann Lecun
Many common methods for learning a world model for pixel-based environments use generative architectures trained with pixel-level reconstruction objectives.