4 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.AI2023★ 4 cited
Evaluating Large Language Models on Graphs: Performance Insights and Comparative Analysis
Chang Liu, Bo Wu
Large Language Models (LLMs) have garnered considerable interest within both academic and industrial. Yet, the application of LLMs to graph data remains under-explored. In this stu…
cs.CV2023★ 4 cited
Learning Situation Hyper-Graphs for Video Question Answering
Aisha Urooj Khan, Hilde Kuehne, Bo Wu +5
Answering questions about complex situations in videos requires not only capturing the presence of actors, objects, and their relations but also the evolution of these relationship…
cs.CL2022
Compressing Pre-trained Transformers via Low-Bit NxM Sparsity for Natural Language Understanding
Connor Holmes, Minjia Zhang, Yuxiong He +1
In recent years, large pre-trained Transformer networks have demonstrated dramatic improvements in many natural language understanding tasks. However, the huge size of these models…