2 papers
cs.LG2026
A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions
Zhiyin Yu, Yuchen Mou, Juncheng Yan +17
Reinforcement learning (RL) has emerged as a powerful post-training paradigm for enhancing the reasoning capabilities of large language models (LLMs). However, reinforcement learni…
cs.CR2024
LinkThief: Combining Generalized Structure Knowledge with Node Similarity for Link Stealing Attack against GNN
Yuxing Zhang, Siyuan Meng, Chunchun Chen +3
Graph neural networks(GNNs) have a wide range of applications in multimedia.Recent studies have shown that Graph neural networks(GNNs) are vulnerable to link stealing attacks,which…