6 papers
ConceptKT: A Benchmark for Concept-Level Deficiency Prediction in Knowledge Tracing
Yu-Chen Kang, Yu-Chien Tang, An-Zi Yen
Knowledge Tracing (KT) is a critical technique for modeling student knowledge to support personalized learning. However, most KT systems focus on binary correctness prediction and…
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency
Zhanming Shen, Hao Chen, Yulei Tang +6
Instruction tuning is vital for aligning large language models (LLMs) with human intent, but current methods typically rely on costly human-annotated seed data or powerful external…
See the Forest and the Trees: A Synergistic Reasoning Framework for Knowledge-Based Visual Question Answering
Junjie Wang, Yunhan Tang, Yijie Wang +4
Multimodal Large Language Models (MLLMs) have pushed the frontiers of Knowledge-Based Visual Question Answering (KBVQA), yet their reasoning is fundamentally bottlenecked by a reli…
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…