3 papers
cs.DC2024
Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters
WenZheng Zhang, Yang Hu, Jing Shi +1
Scaling Deep Neural Networks (DNNs) requires significant computational resources in terms of GPU quantity and compute capacity. In practice, there usually exists a large number of…
cs.CL2024
EVIT: Event-Oriented Instruction Tuning for Event Reasoning
Zhengwei Tao, Xiancai Chen, Zhi Jin +3
Events refer to specific occurrences, incidents, or happenings that take place under a particular background. Event reasoning aims to infer events according to certain relations an…
cs.AI2024
MEEL: Multi-Modal Event Evolution Learning
Zhengwei Tao, Zhi Jin, Junqiang Huang +5
Multi-modal Event Reasoning (MMER) endeavors to endow machines with the ability to comprehend intricate event relations across diverse data modalities. MMER is fundamental and unde…