84 citations · 410 across the 35 of their papers we have counts for
5 papers · 1 filter
Is Explanation the Cure? Misinformation Mitigation in the Short Term and Long Term
Yi-Li Hsu, Shih-Chieh Dai, Aiping Xiong +1
With advancements in natural language processing (NLP) models, automatic explanation generation has been proposed to mitigate misinformation on social media platforms in addition t…
Location-Aware Visual Question Generation with Lightweight Models
Nicholas Collin Suwono, Justin Chih-Yao Chen, Tun Min Hung +5
This work introduces a novel task, location-aware visual question generation (LocaVQG), which aims to generate engaging questions from data relevant to a particular geographical lo…
LLM-in-the-loop: Leveraging Large Language Model for Thematic Analysis
Shih-Chieh Dai, Aiping Xiong, Lun-Wei Ku
Thematic analysis (TA) has been widely used for analyzing qualitative data in many disciplines and fields. To ensure reliable analysis, the same piece of data is typically assigned…
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…