4 papers
Generator-Guided Crowd Reaction Assessment
Sohom Ghosh, Chung-Chi Chen, Sudip Kumar Naskar
In the realm of social media, understanding and predicting post reach is a significant challenge. This paper presents a Crowd Reaction AssessMent (CReAM) task designed to estimate…
Fidelity-Enriched Contrastive Search: Reconciling the Faithfulness-Diversity Trade-Off in Text Generation
Wei-Lin Chen, Cheng-Kuang Wu, Hsin-Hsi Chen +1
In this paper, we address the hallucination problem commonly found in natural language generation tasks. Language models often generate fluent and convincing content but can lack c…
NumHG: A Dataset for Number-Focused Headline Generation
Jian-Tao Huang, Chung-Chi Chen, Hen-Hsen Huang +1
Headline generation, a key task in abstractive summarization, strives to condense a full-length article into a succinct, single line of text. Notably, while contemporary encoder-de…
Entity-Aware Dual Co-Attention Network for Fake News Detection
Sin-Han Yang, Chung-Chi Chen, Hen-Hsen Huang +1
Fake news and misinformation spread rapidly on the Internet. How to identify it and how to interpret the identification results have become important issues. In this paper, we prop…