3 papers
cs.IR2024
The Crowd in MOOCs: A Study of Learning Patterns at Scale
Xin Zhou, Aixin Sun, Jie Zhang +1
The increasing availability of learning activity data in Massive Open Online Courses (MOOCs) enables us to conduct a large-scale analysis of learners' learning behavior. In this pa…
cs.SE2024
Rewriting the Code: A Simple Method for Large Language Model Augmented Code Search
Haochen Li, Xin Zhou, Zhiqi Shen
In code search, the Generation-Augmented Retrieval (GAR) framework, which generates exemplar code snippets to augment queries, has emerged as a promising strategy to address the pr…
cs.IR2024
Multimodal Pretraining and Generation for Recommendation: A Tutorial
Jieming Zhu, Chuhan Wu, Rui Zhang +1
Personalized recommendation stands as a ubiquitous channel for users to explore information or items aligned with their interests. Nevertheless, prevailing recommendation models pr…