3 papers
cs.DC2026
CondenseGraph: Communication-Efficient Distributed GNN Training via On-the-Fly Graph Condensation
Zizhao Zhang, Yihan Xue, Haotian Zhu +3
Distributed Graph Neural Network (GNN) training suffers from substantial communication overhead due to the inherent neighborhood dependency in graph-structured data. This neighbor…
cs.CV2025
EAT: Multimodal Jailbreak Defense via Dynamic Joint Optimization for Multimodal Large Language Models
Liming Lu, Xiang Gu, Shuchao Pang +5
Research endeavors have been made in learning robust Multimodal Large Language Models (MLLMs) against jailbreak attacks. However, existing methods for improving MLLMs' robustness s…
cs.CL2024
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics
Zhiwen You, Kanyao Han, Haotian Zhu +2
Prompt-based fine-tuning has become an essential method for eliciting information encoded in pre-trained language models for a variety of tasks, including text classification. For…