Jiamou Liu

Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification

2022 · arXiv (Cornell University)

Few-shot learning (FSL) is an emergent paradigm of learning that attempts to learn to reason with low sample complexity to mimic the way humans learn, generalise and extrapolate from only a few seen examples. While …

Lexicographic Ranking Supermartingales with Lazy Lower Bounds

2023 · arXiv (Cornell University)

Lexicographic Ranking SuperMartingale (LexRSM) is a probabilistic extension of Lexicographic Ranking Function (LexRF), which is a widely accepted technique for verifying program termination. In this paper, we are the first to propose sound probabilistic extensions …

Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy

2024 · Proceedings of the AAAI Conference on Artificial Intelligence

Learnersourcing offers great potential for scalable education through student content creation. However, predicting student performance on learnersourced questions, which is essential for personalizing the learning experience, is challenging due to the inherent noise in student-generated …