Xiaodong Yu

On the Strength of Character Language Models for Multilingual Named Entity Recognition

2018

Character-level patterns have been widely used as features in English Named Entity Recognition (NER) systems. However, to date there has been no direct investigation of the inherent differences between name and nonname tokens in text, …

Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts

2022 · arXiv (Cornell University)

Explicit decomposition modeling, which involves breaking down complex tasks into more straightforward and often more interpretable sub-tasks, has long been a central theme in developing robust and interpretable NLU systems. However, despite the many datasets …

HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs

2023 · arXiv (Cornell University)

Collaborative filtering (CF) has been proven to be one of the most effective techniques for recommendation. Among all CF approaches, SimpleX is the state-of-the-art method that adopts a novel loss function and a proper number …

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters

2024

GPU-aware collective communication has become a major bottleneck for modern computing platforms as GPU computing power rapidly rises. A traditional approach is to directly integrate lossy compression into GPU-aware collectives, which can lead to serious …