1 citations · 1 across the 4 of their papers we have counts for
4 papers
CFMS: Towards Explainable and Fine-Grained Chinese Multimodal Sarcasm Detection Benchmark
Junzhao Zhang, Hsiu-Yuan Huang, Chenming Tang +2
Multimodal sarcasm detection has recently garnered significant attention. However, existing benchmarks suffer from coarse-grained annotations and limited cultural coverage, which h…
NYK-MS: A Well-annotated Multi-modal Metaphor and Sarcasm Understanding Benchmark on Cartoon-Caption Dataset
Ke Chang, Hao Li, Junzhao Zhang +1
Metaphor and sarcasm are common figurative expressions in people's communication, especially on the Internet or the memes popular among teenagers. We create a new benchmark named N…
Unlocking the Power of LLM Uncertainty for Active In-Context Example Selection
Hsiu-Yuan Huang, Zichen Wu, Yutong Yang +2
Large Language Models (LLMs) have shown remarkable performance across a wide range of downstream tasks. However, it is challenging for users to discern whether the responses of LLM…
On the Learning Dynamics of Two-layer Nonlinear Convolutional Neural Networks
Bing Yu, Junzhao Zhang, Zhanxing Zhu
Convolutional neural networks (CNNs) have achieved remarkable performance in various fields, particularly in the domain of computer vision. However, why this architecture works wel…