3 citations · 3 across the 4 of their papers we have counts for
4 papers
What Kinds of Tokens Benefit from Distant Text? An Analysis on Long Context Language Modeling
Yutong Hu, Quzhe Huang, Kangcheng Luo +1
As the context length that large language models can handle continues to increase, these models demonstrate an enhanced ability to utilize distant information for tasks such as lan…
Harder Tasks Need More Experts: Dynamic Routing in MoE Models
Quzhe Huang, Zhenwei An, Nan Zhuang +7
In this paper, we introduce a novel dynamic expert selection framework for Mixture of Experts (MoE) models, aiming to enhance computational efficiency and model performance by adju…
From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction
Quzhe Huang, Yanxi Zhang, Dongyan Zhao
Document-level Event Argument Extraction (EAE) requires the model to extract arguments of multiple events from a single document. Considering the underlying dependencies between th…
More than Classification: A Unified Framework for Event Temporal Relation Extraction
Quzhe Huang, Yutong Hu, Shengqi Zhu +3
Event temporal relation extraction~(ETRE) is usually formulated as a multi-label classification task, where each type of relation is simply treated as a one-hot label. This formula…