1 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.AI2025
Mpemba Effect in Large-Language Model Training Dynamics: A Minimal Analysis of the Valley-River model
Sibei Liu, Zhijian Hu
Learning rate (LR) schedules in large language model (LLM) training often follow empirical templates: warm-up, constant plateau/stable phase, and decay (WSD). However, the mechanis…
cs.IR2025★ 1 cited
Gated Multimodal Graph Learning for Personalized Recommendation
Sibei Liu, Yuanzhe Zhang, Xiang Li +3
Multimodal recommendation has emerged as a promising solution to alleviate the cold-start and sparsity problems in collaborative filtering by incorporating rich content information…
cs.CR2025★ 1 cited
User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Data
Haowei Yang, Qingyi Lu, Yang Wang +3
With the widespread application of large language models (LLMs), user privacy protection has become a significant research topic. Existing privacy preference modeling methods often…