2 citations · 2 across the 5 of their papers we have counts for
5 papers
VDAR-Router: Adaptive LLMs Routing via Verbalized Query Difficulty Analysis Retrieval
Yu-Chien Tang, Jun-Chen Hung, Wen-Chih Peng +1
Large language models are increasingly used in practical systems, making efficient model selection important for reducing deployment cost. LLM routing has emerged as a practical so…
Tree-of-Text: A Tree-based Prompting Framework for Table-to-Text Generation in the Sports Domain
Shang-Hsuan Chiang, Tsan-Tsung Yang, An-Zi Yen +1
Generating sports game reports from structured tables is a complex table-to-text task that demands both precise data interpretation and fluent narrative generation. Traditional mod…
Team NYCU at Defactify4: Robust Detection and Source Identification of AI-Generated Images Using CNN and CLIP-Based Models
Tsan-Tsung Yang, I-Wei Chen, Kuan-Ting Chen +2
With the rapid advancement of generative AI, AI-generated images have become increasingly realistic, raising concerns about creativity, misinformation, and content authenticity. De…
BADGE: BADminton report Generation and Evaluation with LLM
Shang-Hsuan Chiang, Lin-Wei Chao, Kuang-Da Wang +2
Badminton enjoys widespread popularity, and reports on matches generally include details such as player names, game scores, and ball types, providing audiences with a comprehensive…
Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-Tuning
Shang-Hsuan Chiang, Ming-Chih Lo, Lin-Wei Chao +1
In this paper, we present Pre-CoFactv3, a comprehensive framework comprised of Question Answering and Text Classification components for fact verification. Leveraging In-Context Le…