1 citations · 1 across the 12 of their papers we have counts for
5 papers · 1 filter
CARPAS: Towards Content-Aware Refinement of Provided Aspects for Summarization in Large Language Models
Yong-En Tian, Yu-Chien Tang, An-Zi Yen +1
Aspect-based summarization has attracted significant attention for its ability to generate more fine-grained and user-aligned summaries. While most existing approaches assume a set…
DaMO: A Data-Efficient Multimodal Orchestrator for Temporal Reasoning with Video LLMs
Bo-Cheng Chiu, Jen-Jee Chen, Yu-Chee Tseng +2
Large Language Models (LLMs) have recently been extended to the video domain, enabling sophisticated video-language understanding. However, existing Video LLMs often exhibit limita…
MathEDU: Feedback Generation on Problem-Solving Processes for Mathematical Learning Support
Wei-Ling Hsu, Yu-Chien Tang, An-Zi Yen
The increasing reliance on Large Language Models (LLMs) across various domains extends to education, where students progressively use generative AI as a tool for learning. While pr…
Stay Hungry, Stay Foolish: On the Extended Reading Articles Generation with LLMs
Yow-Fu Liou, Yu-Chien Tang, An-Zi Yen
The process of creating educational materials is both time-consuming and demanding for educators. This research explores the potential of Large Language Models (LLMs) to streamline…
Template-Based Financial Report Generation in Agentic and Decomposed Information Retrieval
Yong-En Tian, Yu-Chien Tang, Kuang-Da Wang +2
Tailoring structured financial reports from companies' earnings releases is crucial for understanding financial performance and has been widely adopted in real-world analytics. How…