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cs.LG2025
From Projection to Prediction: Beyond Logits for Scalable Language Models
Jianbing Dong, Jianbin Chang
Training Large Language Models (LLMs) typically involves a two-stage pipeline at the output layer: hidden states are projected into vocabulary logits via a linear transformation (l…
cs.LG2021
BAGUA: Scaling up Distributed Learning with System Relaxations
Shaoduo Gan, Xiangru Lian, Rui Wang +11
Recent years have witnessed a growing list of systems for distributed data-parallel training. Existing systems largely fit into two paradigms, i.e., parameter server and MPI-style…