2 citations · 2 across the 4 of their papers we have counts for
4 papers · 1 filter
The Best Optimizer Depends on Batch Size
Xingyu Dang, Kaiyue Wen, Sadhika Malladi
A plethora of new adaptive optimizers are designed to efficiently estimate and use minibatch gradient statistics to shape parameter updates, but they are typically benchmarked at a…
Priced Guidance: Can Language Models Generate Future Research Ideas?
Kaiyue Wen, Tengyu Ma, Percy Liang
We evaluate language models' capability to generate novel research ideas through the lens of compression. We aim to lower-bound the potentially tiny probability that a language mod…
Fantastic Pretraining Optimizers and Where to Find Them II: Hyperball Optimization
Kaiyue Wen, Xingyu Dang, Kaifeng Lyu +2
Matrix based optimizers such as Muon can substantially speed up language model pretraining, but their gains over AdamW are observed to shrink as model size and data scale grow when…
Weight Ensembling Improves Reasoning in Language Models
Xingyu Dang, Christina Baek, Kaiyue Wen +2
We investigate a failure mode that arises during the training of reasoning models, where the diversity of generations begins to collapse, leading to suboptimal test-time scaling. N…