Saved in:
| Main Authors: | Jin, Meiling, Wang, Fei, Yuan, Xiaoyun, Qian, Chen, Cheng, Yuan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2602.04166 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
WiSparse: Boosting LLM Inference Efficiency with Weight-Aware Mixed Activation Sparsity
by: Chen, Lei, et al.
Published: (2026)
by: Chen, Lei, et al.
Published: (2026)
Topology-Aware and Highly Generalizable Deep Reinforcement Learning for Efficient Retrieval in Multi-Deep Storage Systems
by: Li, Funing, et al.
Published: (2025)
by: Li, Funing, et al.
Published: (2025)
BudgetDraft: Acceptance-Aware Multi-View Training for Sparse-KV Speculative Decoding
by: He, Liang, et al.
Published: (2026)
by: He, Liang, et al.
Published: (2026)
Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment
by: Liu, Yuze, et al.
Published: (2025)
by: Liu, Yuze, et al.
Published: (2025)
TED: Training-Free Experience Distillation for Multimodal Reasoning
by: Yuan, Shuozhi, et al.
Published: (2026)
by: Yuan, Shuozhi, et al.
Published: (2026)
On Effectiveness and Efficiency of Agentic Tool-calling and RL Training
by: Liu, Tong, et al.
Published: (2026)
by: Liu, Tong, et al.
Published: (2026)
SparseDM: Toward Sparse Efficient Diffusion Models
by: Wang, Kafeng, et al.
Published: (2024)
by: Wang, Kafeng, et al.
Published: (2024)
HASTE: Hardware-Aware Dynamic Sparse Training for Large Output Spaces
by: Ullah, Nasib, et al.
Published: (2026)
by: Ullah, Nasib, et al.
Published: (2026)
DistrAttention: An Efficient and Flexible Self-Attention Mechanism on Modern GPUs
by: Jin, Haolin, et al.
Published: (2025)
by: Jin, Haolin, et al.
Published: (2025)
EcoSpa: Efficient Transformer Training with Coupled Sparsity
by: Xiao, Jinqi, et al.
Published: (2025)
by: Xiao, Jinqi, et al.
Published: (2025)
End-to-End On-Device Quantization-Aware Training for LLMs at Inference Cost
by: Tan, Qitao, et al.
Published: (2025)
by: Tan, Qitao, et al.
Published: (2025)
Efficient Network Automatic Relevance Determination
by: Zhang, Hongwei, et al.
Published: (2025)
by: Zhang, Hongwei, et al.
Published: (2025)
Data Warmup: Complexity-Aware Curricula for Efficient Diffusion Training
by: Lin, Jinhong, et al.
Published: (2026)
by: Lin, Jinhong, et al.
Published: (2026)
HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference
by: Gong, Ping, et al.
Published: (2025)
by: Gong, Ping, et al.
Published: (2025)
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
by: Chen, Mengzhao, et al.
Published: (2024)
by: Chen, Mengzhao, et al.
Published: (2024)
Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks
by: Jin, Dian, et al.
Published: (2025)
by: Jin, Dian, et al.
Published: (2025)
MOSS: Efficient and Accurate FP8 LLM Training with Microscaling and Automatic Scaling
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
Efficient Equivariant High-Order Crystal Tensor Prediction via Cartesian Local-Environment Many-Body Coupling
by: Jin, Dian, et al.
Published: (2026)
by: Jin, Dian, et al.
Published: (2026)
SlimPipe: Memory-Thrifty and Efficient Pipeline Parallelism for Long-Context LLM Training
by: Li, Zhouyang, et al.
Published: (2025)
by: Li, Zhouyang, et al.
Published: (2025)
Efficient Edge LLMs Deployment via HessianAware Quantization and CPU GPU Collaborative
by: Zhang, Tuo, et al.
Published: (2025)
by: Zhang, Tuo, et al.
Published: (2025)
Towards Interpretable Adversarial Examples via Sparse Adversarial Attack
by: Lin, Fudong, et al.
Published: (2025)
by: Lin, Fudong, et al.
Published: (2025)
Online Prompt Pricing based on Combinatorial Multi-Armed Bandit and Hierarchical Stackelberg Game
by: Li, Meiling, et al.
Published: (2024)
by: Li, Meiling, et al.
Published: (2024)
Gradient-Congruity Guided Federated Sparse Training
by: Tian, Chris Xing, et al.
Published: (2024)
by: Tian, Chris Xing, et al.
Published: (2024)
SparseBalance: Load-Balanced Long Context Training with Dynamic Sparse Attention
by: Xu, Hongtao, et al.
Published: (2026)
by: Xu, Hongtao, et al.
Published: (2026)
HPO: Hysteretic Policy Optimization for Stable and Efficient Training under Sparse-Reward Regime
by: Sana, Mohamed, et al.
Published: (2026)
by: Sana, Mohamed, et al.
Published: (2026)
Reviving ConvNeXt for Efficient Convolutional Diffusion Models
by: Kwon, Taesung, et al.
Published: (2026)
by: Kwon, Taesung, et al.
Published: (2026)
ULTHO: Ultra-Lightweight yet Efficient Hyperparameter Optimization in Deep Reinforcement Learning
by: Yuan, Mingqi, et al.
Published: (2025)
by: Yuan, Mingqi, et al.
Published: (2025)
ProTrain: Efficient LLM Training via Memory-Aware Techniques
by: Yang, Hanmei, et al.
Published: (2024)
by: Yang, Hanmei, et al.
Published: (2024)
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting
by: Zhao, Yanjun, et al.
Published: (2024)
by: Zhao, Yanjun, et al.
Published: (2024)
Data-Efficient Training by Evolved Sampling
by: Cheng, Ziheng, et al.
Published: (2025)
by: Cheng, Ziheng, et al.
Published: (2025)
Optimal Corpus Aware Training for Neural Machine Translation
by: Liao, Yi-Hsiu, et al.
Published: (2025)
by: Liao, Yi-Hsiu, et al.
Published: (2025)
Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
by: He, Shuqi, et al.
Published: (2024)
by: He, Shuqi, et al.
Published: (2024)
An Efficient Hybrid Sparse Attention with CPU-GPU Parallelism for Long-Context Inference
by: Yao, Feiyu, et al.
Published: (2026)
by: Yao, Feiyu, et al.
Published: (2026)
GPrune-LLM: Generalization-Aware Structured Pruning for Large Language Models
by: Liu, Xiaoyun, et al.
Published: (2026)
by: Liu, Xiaoyun, et al.
Published: (2026)
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference
by: Jin, Zewen, et al.
Published: (2025)
by: Jin, Zewen, et al.
Published: (2025)
FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection
by: Cui, Jin, et al.
Published: (2025)
by: Cui, Jin, et al.
Published: (2025)
Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy
by: Zhang, Xiaoyun, et al.
Published: (2025)
by: Zhang, Xiaoyun, et al.
Published: (2025)
Advancing On-Device Neural Network Training with TinyPropv2: Dynamic, Sparse, and Efficient Backpropagation
by: Rüb, Marcus, et al.
Published: (2024)
by: Rüb, Marcus, et al.
Published: (2024)
ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back Propagation
by: Zhong, Lujia, et al.
Published: (2024)
by: Zhong, Lujia, et al.
Published: (2024)
OGLS-SD: On-Policy Self-Distillation with Outcome-Guided Logit Steering for LLM Reasoning
by: Yang, Yuxiao, et al.
Published: (2026)
by: Yang, Yuxiao, et al.
Published: (2026)
Similar Items
-
WiSparse: Boosting LLM Inference Efficiency with Weight-Aware Mixed Activation Sparsity
by: Chen, Lei, et al.
Published: (2026) -
Topology-Aware and Highly Generalizable Deep Reinforcement Learning for Efficient Retrieval in Multi-Deep Storage Systems
by: Li, Funing, et al.
Published: (2025) -
BudgetDraft: Acceptance-Aware Multi-View Training for Sparse-KV Speculative Decoding
by: He, Liang, et al.
Published: (2026) -
Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment
by: Liu, Yuze, et al.
Published: (2025) -
TED: Training-Free Experience Distillation for Multimodal Reasoning
by: Yuan, Shuozhi, et al.
Published: (2026)