35 citations · 91 across the 14 of their papers we have counts for
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cs.LG2026
Training Witnesses: Trusting the Training without Trusting the Trainer
Houjun Liu, Pratyusha Sharma
Progress in machine learning cannot outpace our ability to verify it. With an explosion in papers today, every scientific claim rests initially on trust in the trainer, leading to…
cs.CL2026
Always Learning, Always Mixing: Efficient and Simple Data Mixing All The Time
Michael Y. Hu, Apurva Gandhi, Kyunghyun Cho +2
Data mixing decides how to combine different sources or types of data and is a consequential problem throughout language model training. In pretraining, data composition is a key d…