Post-Training Sparse Attention with Double Sparsity
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Shuo, Sheng, Ying, Gonzalez, Joseph E., Stoica, Ion, Zheng, Lianmin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
HashAttention: Semantic Sparsity for Faster Inference
by: Desai, Aditya, et al.
Published: (2024)
by: Desai, Aditya, et al.
Published: (2024)
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention
by: Zhang, Jintao, et al.
Published: (2025)
by: Zhang, Jintao, et al.
Published: (2025)
vAttention: Verified Sparse Attention
by: Desai, Aditya, et al.
Published: (2025)
by: Desai, Aditya, et al.
Published: (2025)
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
by: Sheng, Ying, et al.
Published: (2023)
by: Sheng, Ying, et al.
Published: (2023)
Lil: Less is Less When Applying Post-Training Sparse-Attention Algorithms in Long-Decode Stage
by: Hu, Junhao, et al.
Published: (2026)
by: Hu, Junhao, et al.
Published: (2026)
Twilight: Adaptive Attention Sparsity with Hierarchical Top-$p$ Pruning
by: Lin, Chaofan, et al.
Published: (2025)
by: Lin, Chaofan, et al.
Published: (2025)
From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline
by: Li, Tianle, et al.
Published: (2024)
by: Li, Tianle, et al.
Published: (2024)
BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation
by: Zhu, Alan, et al.
Published: (2025)
by: Zhu, Alan, et al.
Published: (2025)
SLA2: Sparse-Linear Attention with Learnable Routing and QAT
by: Zhang, Jintao, et al.
Published: (2026)
by: Zhang, Jintao, et al.
Published: (2026)
RouteLLM: Learning to Route LLMs with Preference Data
by: Ong, Isaac, et al.
Published: (2024)
by: Ong, Isaac, et al.
Published: (2024)
How Sparse Attention Approximates Exact Attention? Your Attention is Naturally $n^C$-Sparse
by: Deng, Yichuan, et al.
Published: (2024)
by: Deng, Yichuan, et al.
Published: (2024)
How to Evaluate Reward Models for RLHF
by: Frick, Evan, et al.
Published: (2024)
by: Frick, Evan, et al.
Published: (2024)
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
by: Yuan, Jingyang, et al.
Published: (2025)
by: Yuan, Jingyang, et al.
Published: (2025)
Online Speculative Decoding
by: Liu, Xiaoxuan, et al.
Published: (2023)
by: Liu, Xiaoxuan, et al.
Published: (2023)
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
by: Chiang, Wei-Lin, et al.
Published: (2024)
by: Chiang, Wei-Lin, et al.
Published: (2024)
Inference Time Context Sparsity: Illusion or Opportunity?
by: Joshi, Sahil, et al.
Published: (2026)
by: Joshi, Sahil, et al.
Published: (2026)
APTQ: Attention-aware Post-Training Mixed-Precision Quantization for Large Language Models
by: Guan, Ziyi, et al.
Published: (2024)
by: Guan, Ziyi, et al.
Published: (2024)
DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training
by: Li, Dacheng, et al.
Published: (2023)
by: Li, Dacheng, et al.
Published: (2023)
DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention
by: Huang, Yuxiang, et al.
Published: (2026)
by: Huang, Yuxiang, et al.
Published: (2026)
E-Sparse: Boosting the Large Language Model Inference through Entropy-based N:M Sparsity
by: Li, Yun, et al.
Published: (2023)
by: Li, Yun, et al.
Published: (2023)
HSR-Enhanced Sparse Attention Acceleration
by: Chen, Bo, et al.
Published: (2024)
by: Chen, Bo, et al.
Published: (2024)
NOSA: Native and Offloadable Sparse Attention
by: Huang, Yuxiang, et al.
Published: (2025)
by: Huang, Yuxiang, et al.
Published: (2025)
Trainable Dynamic Mask Sparse Attention
by: Shi, Jingze, et al.
Published: (2025)
by: Shi, Jingze, et al.
Published: (2025)
Combee: Scaling Prompt Learning for Self-Improving Language Model Agents
by: Li, Hanchen, et al.
Published: (2026)
by: Li, Hanchen, et al.
Published: (2026)
BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
by: Huang, Wei, et al.
Published: (2024)
by: Huang, Wei, et al.
Published: (2024)
Param$Δ$ for Direct Weight Mixing: Post-Train Large Language Model at Zero Cost
by: Cao, Sheng, et al.
Published: (2025)
by: Cao, Sheng, et al.
Published: (2025)
Sparse Attention Decomposition Applied to Circuit Tracing
by: Franco, Gabriel, et al.
Published: (2024)
by: Franco, Gabriel, et al.
Published: (2024)
SampleAttention: Near-Lossless Acceleration of Long Context LLM Inference with Adaptive Structured Sparse Attention
by: Zhu, Qianchao, et al.
Published: (2024)
by: Zhu, Qianchao, et al.
Published: (2024)
Stylus: Automatic Adapter Selection for Diffusion Models
by: Luo, Michael, et al.
Published: (2024)
by: Luo, Michael, et al.
Published: (2024)
Post-Trained MoE Can Skip Half Experts via Self-Distillation
by: Lv, Xingtai, et al.
Published: (2026)
by: Lv, Xingtai, et al.
Published: (2026)
GSO: Challenging Software Optimization Tasks for Evaluating SWE-Agents
by: Shetty, Manish, et al.
Published: (2025)
by: Shetty, Manish, et al.
Published: (2025)
TidalDecode: Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
by: Yang, Lijie, et al.
Published: (2024)
by: Yang, Lijie, et al.
Published: (2024)
JudgeBench: A Benchmark for Evaluating LLM-based Judges
by: Tan, Sijun, et al.
Published: (2024)
by: Tan, Sijun, et al.
Published: (2024)
$\texttt{SPECS}$: Faster Test-Time Scaling through Speculative Drafts
by: Cemri, Mert, et al.
Published: (2025)
by: Cemri, Mert, et al.
Published: (2025)
MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling
by: MiniCPM Team, et al.
Published: (2026)
by: MiniCPM Team, et al.
Published: (2026)
Uncovering Intra-expert Activation Sparsity for Efficient Mixture-of-Expert Model Execution
by: Park, Jongseok, et al.
Published: (2026)
by: Park, Jongseok, et al.
Published: (2026)
Learn To be Efficient: Build Structured Sparsity in Large Language Models
by: Zheng, Haizhong, et al.
Published: (2024)
by: Zheng, Haizhong, et al.
Published: (2024)
Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
by: Yang, Zhuolin, et al.
Published: (2026)
by: Yang, Zhuolin, et al.
Published: (2026)
Sliding Window Attention Training for Efficient Large Language Models
by: Fu, Zichuan, et al.
Published: (2025)
by: Fu, Zichuan, et al.
Published: (2025)
Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models
by: Leng, Jiaqi, et al.
Published: (2025)
by: Leng, Jiaqi, et al.
Published: (2025)
Similar Items
-
HashAttention: Semantic Sparsity for Faster Inference
by: Desai, Aditya, et al.
Published: (2024) -
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention
by: Zhang, Jintao, et al.
Published: (2025) -
vAttention: Verified Sparse Attention
by: Desai, Aditya, et al.
Published: (2025) -
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
by: Sheng, Ying, et al.
Published: (2023) -
Lil: Less is Less When Applying Post-Training Sparse-Attention Algorithms in Long-Decode Stage
by: Hu, Junhao, et al.
Published: (2026)