4 citations · 11 across the 6 of their papers we have counts for
6 papers
TAU: A Benchmark for Cultural Sound Understanding Beyond Semantics
Yi-Cheng Lin, Yu-Hua Chen, Jia-Kai Dong +12
Large audio-language models are advancing rapidly, yet most evaluations emphasize speech or globally sourced sounds, overlooking culturally distinctive cues. This gap raises a crit…
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions
Cheng-Te Li, Yu-Che Tsai, Chih-Yao Chen +1
In this survey, we dive into Tabular Data Learning (TDL) using Graph Neural Networks (GNNs), a domain where deep learning-based approaches have increasingly shown superior performa…
HonestBait: Forward References for Attractive but Faithful Headline Generation
Chih-Yao Chen, Dennis Wu, Lun-Wei Ku
Current methods for generating attractive headlines often learn directly from data, which bases attractiveness on the number of user clicks and views. Although clicks or views do r…
Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification
Chih-Yao Chen, Tun-Min Hung, Yi-Li Hsu +1
Fine-grained emotion classification (FEC) is a challenging task. Specifically, FEC needs to handle subtle nuance between labels, which can be complex and confusing. Most existing m…
SUVR: A Search-based Approach to Unsupervised Visual Representation Learning
Yi-Zhan Xu, Chih-Yao Chen, Cheng-Te Li
Unsupervised learning has grown in popularity because of the difficulty of collecting annotated data and the development of modern frameworks that allow us to learn from unlabeled…
ZS-BERT: Towards Zero-Shot Relation Extraction with Attribute Representation Learning
Chih-Yao Chen, Cheng-Te Li
While relation extraction is an essential task in knowledge acquisition and representation, and new-generated relations are common in the real world, less effort is made to predict…