From the 1 of 12 linked papers with an AI index.
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TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting
Bowen Liu, Haijian Lai, Chan-Tong Lam +4
Although many complex models were proposed to analyze time series data, some studies have demonstrated remarkable performance with simpler structures. A recent study proposed a non…
SAU: Sparsity-Aware Unlearning for LLMs via Gradient Masking and Importance Redistribution
Yuze Wang, Yujia Tong, Xuan Liu +1
Large Language Models (LLMs) inevitably memorize sensitive information during training, posing significant privacy risks. Machine unlearning has emerged as a promising solution to…
A Systematic Study of Model Extraction Attacks on Graph Foundation Models
Haoyan Xu, Ruizhi Qian, Jiate Li +9
Graph machine learning has advanced rapidly in tasks such as link prediction, anomaly detection, and node classification. As models scale up, pretrained graph models have become va…
OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment
Liang Lin, Zhihao Xu, Junhao Dong +10
Large language model (LLM) alignment faces a critical dilemma when addressing multiple human preferences: improvements in one dimension frequently come at the expense of others, cr…