Saved in:
| Main Authors: | Zhang, Guibin, Dong, Haonan, Zhang, Yuchen, Li, Zhixun, Chen, Dingshuo, Wang, Kai, Chen, Tianlong, Liang, Yuxuan, Cheng, Dawei, Wang, Kun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2410.13761 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
by: Chen, Dingshuo, et al.
Published: (2024)
by: Chen, Dingshuo, et al.
Published: (2024)
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
by: Zhang, Guibin, et al.
Published: (2024)
by: Zhang, Guibin, et al.
Published: (2024)
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
by: Zhang, Guibin, et al.
Published: (2024)
by: Zhang, Guibin, et al.
Published: (2024)
Graph Sparsification via Mixture of Graphs
by: Zhang, Guibin, et al.
Published: (2024)
by: Zhang, Guibin, et al.
Published: (2024)
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
by: Yue, Yanwei, et al.
Published: (2024)
by: Yue, Yanwei, et al.
Published: (2024)
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
by: Zhang, Guibin, et al.
Published: (2024)
by: Zhang, Guibin, et al.
Published: (2024)
BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment
by: Wang, Sizhe, et al.
Published: (2024)
by: Wang, Sizhe, et al.
Published: (2024)
IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification
by: Li, Zhixun, et al.
Published: (2025)
by: Li, Zhixun, et al.
Published: (2025)
SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication
by: Zhang, Ruijia, et al.
Published: (2025)
by: Zhang, Ruijia, et al.
Published: (2025)
EXGC: Bridging Efficiency and Explainability in Graph Condensation
by: Fang, Junfeng, et al.
Published: (2024)
by: Fang, Junfeng, et al.
Published: (2024)
G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems
by: Wang, Shilong, et al.
Published: (2025)
by: Wang, Shilong, et al.
Published: (2025)
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs
by: Wang, Kun, et al.
Published: (2024)
by: Wang, Kun, et al.
Published: (2024)
Graffe: Graph Representation Learning via Diffusion Probabilistic Models
by: Chen, Dingshuo, et al.
Published: (2025)
by: Chen, Dingshuo, et al.
Published: (2025)
Safety in Graph Machine Learning: Threats and Safeguards
by: Wang, Song, et al.
Published: (2024)
by: Wang, Song, et al.
Published: (2024)
Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey
by: Li, Zhixun, et al.
Published: (2025)
by: Li, Zhixun, et al.
Published: (2025)
Contextualization Distillation from Large Language Model for Knowledge Graph Completion
by: Li, Dawei, et al.
Published: (2024)
by: Li, Dawei, et al.
Published: (2024)
UniErase: Towards Balanced and Precise Unlearning in Language Models
by: Yu, Miao, et al.
Published: (2025)
by: Yu, Miao, et al.
Published: (2025)
Graph-Augmented Large Language Model Agents: Current Progress and Future Prospects
by: Liu, Yixin, et al.
Published: (2025)
by: Liu, Yixin, et al.
Published: (2025)
Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts
by: Wang, Kun, et al.
Published: (2024)
by: Wang, Kun, et al.
Published: (2024)
Balanced Edge Pruning for Graph Anomaly Detection with Noisy Labels
by: Wang, Zhu, et al.
Published: (2024)
by: Wang, Zhu, et al.
Published: (2024)
AdaSwitch: Balancing Exploration and Guidance in Knowledge Distillation via Adaptive Switching
by: Peng, Jingyu, et al.
Published: (2025)
by: Peng, Jingyu, et al.
Published: (2025)
MasRouter: Learning to Route LLMs for Multi-Agent Systems
by: Yue, Yanwei, et al.
Published: (2025)
by: Yue, Yanwei, et al.
Published: (2025)
Learning When Not to Act: Mitigating Tool Abuse in Agentic Reinforcement Learning
by: Chen, Liuji, et al.
Published: (2026)
by: Chen, Liuji, et al.
Published: (2026)
DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting
by: Wu, Hao, et al.
Published: (2024)
by: Wu, Hao, et al.
Published: (2024)
All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN
by: Wang, Shilong, et al.
Published: (2024)
by: Wang, Shilong, et al.
Published: (2024)
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
by: Zhang, Yuchen, et al.
Published: (2024)
by: Zhang, Yuchen, et al.
Published: (2024)
The opportunities of semiconductor fibres in clinical and translational medicine
by: Zhixun Wang, et al.
Published: (2024)
by: Zhixun Wang, et al.
Published: (2024)
Adversarial-Robustness-Guided Graph Pruning
by: Wang, Yongyu
Published: (2024)
by: Wang, Yongyu
Published: (2024)
AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?
by: Zhang, Guibin, et al.
Published: (2025)
by: Zhang, Guibin, et al.
Published: (2025)
Rethinking Pruning for Vision-Language Models: Strategies for Effective Sparsity and Performance Restoration
by: He, Shwai, et al.
Published: (2024)
by: He, Shwai, et al.
Published: (2024)
A-MapReduce: Executing Wide Search via Agentic MapReduce
by: Chen, Mingju, et al.
Published: (2026)
by: Chen, Mingju, et al.
Published: (2026)
DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning Models
by: Jiang, Yuxuan, et al.
Published: (2025)
by: Jiang, Yuxuan, et al.
Published: (2025)
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
by: Zhang, Mohan, et al.
Published: (2025)
by: Zhang, Mohan, et al.
Published: (2025)
PixelPrune: Pixel-Level Adaptive Visual Token Reduction via Predictive Coding
by: Wang, Nan, et al.
Published: (2026)
by: Wang, Nan, et al.
Published: (2026)
Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs
by: Fu, Yao, et al.
Published: (2025)
by: Fu, Yao, et al.
Published: (2025)
Augmented Lagrangian-Based Safe Reinforcement Learning Approach for Distribution System Volt/VAR Control
by: Chen, Guibin
Published: (2024)
by: Chen, Guibin
Published: (2024)
LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models
by: Zhang, Dingkun, et al.
Published: (2024)
by: Zhang, Dingkun, et al.
Published: (2024)
Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration
by: Ding, Tianqi, et al.
Published: (2025)
by: Ding, Tianqi, et al.
Published: (2025)
P$^2$ Law: Scaling Law for Post-Training After Model Pruning
by: Chen, Xiaodong, et al.
Published: (2024)
by: Chen, Xiaodong, et al.
Published: (2024)
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility
by: Kuo, Martin, et al.
Published: (2025)
by: Kuo, Martin, et al.
Published: (2025)
Similar Items
-
Beyond Efficiency: Molecular Data Pruning for Enhanced Generalization
by: Chen, Dingshuo, et al.
Published: (2024) -
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness
by: Zhang, Guibin, et al.
Published: (2024) -
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
by: Zhang, Guibin, et al.
Published: (2024) -
Graph Sparsification via Mixture of Graphs
by: Zhang, Guibin, et al.
Published: (2024) -
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
by: Yue, Yanwei, et al.
Published: (2024)