35 citations · 39 across the 16 of their papers we have counts for
19 papers
Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptation
Ting-Wei Chang, Hen-Hsen Huang, Hsin-Hsi Chen
This paper addresses the challenge of making complex healthcare information more accessible through automated Plain Language Adaptation (PLA). PLA aims to simplify technical medica…
Smarter by the Moment: Environment-Driven Dynamic Policies for Continual LLM Improvement
Ting-Wei Chang, Po-Chun Chen, Hen-Hsen Huang +1
Large Language Models (LLMs) have achieved remarkable progress across diverse domains, but continual adaptation to evolving tasks and environments remains a key challenge. Existing…
Strategy-Induct: Task-Level Strategy Induction for Instruction Generation
Po-Chun Chen, Hen-Hsen Huang, Hsin-Hsi Chen
Designing effective task-level prompts is crucial for improving the performance of Large Language Models (LLMs). While prior work on instruction induction demonstrates that LLMs ca…
No One Fits All: From Fixed Prompting to Learned Routing in Multilingual LLMs
Wei-Chi Wu, Sheng-Lun Wei, Hen-Hsen Huang +1
Translation-based prompting is widely used in multilingual LLMs, yet its effectiveness varies across languages and tasks. We evaluate prompting strategies across ten languages of d…
Personalized Graph-Empowered Large Language Model for Proactive Information Access
Chia Cheng Chang, An-Zi Yen, Hen-Hsen Huang +1
Since individuals may struggle to recall all life details and often confuse events, establishing a system to assist users in recalling forgotten experiences is essential. While num…
Diverge to Induce Prompting: Multi-Rationale Induction for Zero-Shot Reasoning
Po-Chun Chen, Hen-Hsen Huang, Hsin-Hsi Chen
To address the instability of unguided reasoning paths in standard Chain-of-Thought prompting, recent methods guide large language models (LLMs) by first eliciting a single reasoni…
Bias in the Ear of the Listener: Assessing Sensitivity in Audio Language Models Across Linguistic, Demographic, and Positional Variations
Sheng-Lun Wei, Yu-Ling Liao, Yen-Hua Chang +2
This work presents the first systematic investigation of speech bias in multilingual MLLMs. We construct and release the BiasInEar dataset, a speech-augmented benchmark based on Gl…
Visual Lifelog Retrieval through Captioning-Enhanced Interpretation
Yu-Fei Shih, An-Zi Yen, Hen-Hsen Huang +1
People often struggle to remember specific details of past experiences, which can lead to the need to revisit these memories. Consequently, lifelog retrieval has emerged as a cruci…
Do Before You Judge: Self-Reference as a Pathway to Better LLM Evaluation
Wei-Hsiang Lin, Sheng-Lun Wei, Hen-Hsen Huang +1
LLM-as-Judge frameworks are increasingly popular for AI evaluation, yet research findings on the relationship between models' generation and judgment abilities remain inconsistent.…
Diagnosing Model Editing via Knowledge Spectrum
Tsung-Hsuan Pan, Chung-Chi Chen, Hen-Hsen Huang +1
Model editing, the process of efficiently modifying factual knowledge in pre-trained language models, is critical for maintaining their accuracy and relevance. However, existing ed…
"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…
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…
ZARA: Improving Few-Shot Self-Rationalization for Small Language Models
Wei-Lin Chen, An-Zi Yen, Cheng-Kuang Wu +2
Language models (LMs) that jointly generate end-task answers as well as free-text rationales are known as self-rationalization models. Recent works demonstrate great performance ga…
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…
Numeral Understanding in Financial Tweets for Fine-grained Crowd-based Forecasting
Chung-Chi Chen, Hen-Hsen Huang, Yow-Ting Shiue +1
Numerals that contain much information in financial documents are crucial for financial decision making. They play different roles in financial analysis processes. This paper is ai…