1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
The Art of Scaling Reinforcement Learning Compute for LLMs
Devvrit Khatri, Lovish Madaan, Rishabh Tiwari +6
Reinforcement learning (RL) has become central to training large language models (LLMs), yet the field lacks predictive scaling methodologies comparable to those established for pr…
cs.LG2025
Adam or Gauss-Newton? A Comparative Study In Terms of Basis Alignment and SGD Noise
Bingbin Liu, Rachit Bansal, Depen Morwani +3
Diagonal preconditioners are computationally feasible approximate to second-order optimizers, which have shown significant promise in accelerating training of deep learning models.…