111 citations · 403 across the 22 of their papers we have counts for
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cs.LG2024
Sharpness-Aware Minimization Enhances Feature Quality via Balanced Learning
Jacob Mitchell Springer, Vaishnavh Nagarajan, Aditi Raghunathan
Sharpness-Aware Minimization (SAM) has emerged as a promising alternative optimizer to stochastic gradient descent (SGD). The originally-proposed motivation behind SAM was to bias…
cs.CL2024★ 2 cited
The pitfalls of next-token prediction
Gregor Bachmann, Vaishnavh Nagarajan
Can a mere next-token predictor faithfully model human intelligence? We crystallize this emerging concern and correct popular misconceptions surrounding it, and advocate a simple m…