Guimei Liu — accepted AI-conference papers

2025

CoinMath: Harnessing the Power of Coding Instruction for Math LLM

Chengwei Wei, Bin Wang, Jung-jae Kim, Guimei Liu, Nancy F. Chen

ACL 2025finding

Large Language Models (LLMs) have shown strong performance in solving mathematical problems, with code-based solutions proving particularly effective. However, the best practice to leverage coding instruction data to enhance mathematical reasoning remains underexplored. This study investigates three…

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2024

Contrastive Learning with Bidirectional Transformers for Knowledge Tracing

Huijing Zhan, Jung-Jae Kim, Guimei Liu

ICASSP 2024accepted

Knowledge tracing aims to predict students’ probability of correctly answering the next question based on their interaction history. Previous methods employ left-to-right unidirectional transformers to encode the historical behaviors into hidden representations, especially with contrastive learning…

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