output
20232026
most citedEvaluating gesture generation in a large-scale open challenge: The GENEA Challenge 2022

26 citations

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Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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cs.DC2026

MegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production

Chunyu Xue, Yangrui Chen, Jianyu Jiang +14

As the foundational component of versatile AI applications, training an multimodal large language model (MLLM) relies on multimodal datasets with dynamic modality mixture proportio…

cs.DC2026

LAER-MoE: Load-Adaptive Expert Re-layout for Efficient Mixture-of-Experts Training

Xinyi Liu, Yujie Wang, Fangcheng Fu +4

Expert parallelism is vital for effectively training Mixture-of-Experts (MoE) models, enabling different devices to host distinct experts, with each device processing different inp…