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cs.LG2026
CompassDPO: Dynamics-Controlled Direct Preference Optimization for Robust Safety Alignment
Jilong Liu, Yonghui Yang, Pengyang Shao +5
Direct Preference Optimization (DPO) has become a standard framework for safety alignment, but its reliance on pairwise preference updates makes training sensitive to imperfect sup…
cs.LG2025
Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs
Xiabao Wu, Yongchao Liu, Wei Qin +1
Graph neural networks (GNNs) have delivered remarkable results in various fields. However, the rapid increase in the scale of graph data has introduced significant performance bott…
cs.LG2023
Graph Relation Aware Continual Learning
Qinghua Shen, Weijieying Ren, Wei Qin
Continual graph learning (CGL) studies the problem of learning from an infinite stream of graph data, consolidating historical knowledge, and generalizing it to the future task. At…