9 citations · 16 across the 7 of their papers we have counts for
7 papers
TGCM: Topic-Guided Consistency Modeling for One-Step Disentanglement of Interleaved APT Technique Sequences
Guo-Wei Wong, Ming-Chuan Yang, Shou-De Lin +2
Multiple Advanced Persistent Threat (APT) campaigns may execute concurrently, producing audit logs whose events are interleaved without explicit campaign boundaries. We formulate t…
Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy
Yu Zhu, Chuxiong Sun, Wenfei Yang +8
Reinforcement Learning from Human Feedback (RLHF) is the prevailing approach to ensure Large Language Models (LLMs) align with human values. However, existing RLHF methods require…
Nearest Neighbor Classifier with Margin Penalty for Active Learning
Yuan Cao, Zhiqiao Gao, Jie Hu +2
As deep learning becomes the mainstream in the field of natural language processing, the need for suitable active learning method are becoming unprecedented urgent. Active Learning…
Adaptive Graph Diffusion Networks
Chuxiong Sun, Jie Hu, Hongming Gu +2
Graph Neural Networks (GNNs) have received much attention in the graph deep learning domain. However, recent research empirically and theoretically shows that deep GNNs suffer from…
Composite Neural Network: Theory and Application to PM2.5 Prediction
Ming-Chuan Yang, Meng Chang Chen
This work investigates the framework and performance issues of the composite neural network, which is composed of a collection of pre-trained and non-instantiated neural network mo…
Theoretical Investigation of Composite Neural Network
Ming-Chuan Yang, Meng Chang Chen
This work theoretically investigates the performance of a composite neural network. A composite neural network is a rooted directed acyclic graph combining a set of pre-trained and…