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cs.LG2026
Training-Free Dynamic Upcycling of Expert Language Models
Eros Fanì, Oğuzhan Ersoy
Large Language Models (LLMs) have achieved remarkable performance on a wide range of specialized tasks, exhibiting strong problem-solving capabilities. However, training these mode…
cs.LG2025
SkipPipe: Partial and Reordered Pipelining Framework for Training LLMs in Heterogeneous Networks
Nikolay Blagoev, Lydia Yiyu Chen, Oğuzhan Ersoy
Data and pipeline parallelism are ubiquitous for training of Large Language Models (LLM) on distributed nodes. Driven by the need for cost-effective training, recent work explores…