35 citations · 37 across the 15 of their papers we have counts for
6 papers · 1 filter
Are Expert-Level Language Models Expert-Level Annotators?
Yu-Min Tseng, Wei-Lin Chen, Chung-Chi Chen +1
Data annotation refers to the labeling or tagging of textual data with relevant information. A large body of works have reported positive results on leveraging LLMs as an alternati…
"Why" Has the Least Side Effect on Model Editing
Tsung-Hsuan Pan, Chung-Chi Chen, Hen-Hsen Huang +1
Training large language models (LLMs) from scratch is an expensive endeavor, particularly as world knowledge continually evolves. To maintain relevance and accuracy of LLMs, model…
Co-Trained Retriever-Generator Framework for Question Generation in Earnings Calls
Yining Juan, Chung-Chi Chen, Hen-Hsen Huang +1
In diverse professional environments, ranging from academic conferences to corporate earnings calls, the ability to anticipate audience questions stands paramount. Traditional meth…
Pre-Finetuning with Impact Duration Awareness for Stock Movement Prediction
Chr-Jr Chiu, Chung-Chi Chen, Hen-Hsen Huang +1
Understanding the duration of news events' impact on the stock market is crucial for effective time-series forecasting, yet this facet is largely overlooked in current research. Th…
Enhancing Investment Opinion Ranking through Argument-Based Sentiment Analysis
Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen +3
In the era of rapid Internet and social media platform development, individuals readily share their viewpoints online. The overwhelming quantity of these posts renders comprehensiv…
Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models
Sheng-Lun Wei, Cheng-Kuang Wu, Hen-Hsen Huang +1
In this paper, we investigate the phenomena of "selection biases" in Large Language Models (LLMs), focusing on problems where models are tasked with choosing the optimal option fro…