Saved in:
| Main Authors: | Pan, Yuqi, An, Yongqi, Li, Zheng, Chou, Yuhong, Zhu, Ruijie, Wang, Xiaohui, Wang, Mingxuan, Wang, Jinqiao, Li, Guoqi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.16577 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map
by: Chou, Yuhong, et al.
Published: (2024)
by: Chou, Yuhong, et al.
Published: (2024)
Systematic Outliers in Large Language Models
by: An, Yongqi, et al.
Published: (2025)
by: An, Yongqi, et al.
Published: (2025)
Scaling over Scaling: Exploring Test-Time Scaling Plateau in Large Reasoning Models
by: Wang, Jian, et al.
Published: (2025)
by: Wang, Jian, et al.
Published: (2025)
PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attention
by: Chen, Lida, et al.
Published: (2025)
by: Chen, Lida, et al.
Published: (2025)
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
by: He, Jinghan, et al.
Published: (2024)
by: He, Jinghan, et al.
Published: (2024)
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)
SEA: Sparse Linear Attention with Estimated Attention Mask
by: Lee, Heejun, et al.
Published: (2023)
by: Lee, Heejun, et al.
Published: (2023)
A Systematic Analysis of Hybrid Linear Attention
by: Wang, Dustin, et al.
Published: (2025)
by: Wang, Dustin, et al.
Published: (2025)
ProxyAttn: Guided Sparse Attention via Representative Heads
by: Wang, Yixuan, et al.
Published: (2025)
by: Wang, Yixuan, et al.
Published: (2025)
Parallel Test-Time Scaling for Latent Reasoning Models
by: You, Runyang, et al.
Published: (2025)
by: You, Runyang, et al.
Published: (2025)
AttentionPredictor: Temporal Patterns Matter for KV Cache Compression
by: Yang, Qingyue, et al.
Published: (2025)
by: Yang, Qingyue, et al.
Published: (2025)
SpikingBrain: Spiking Brain-inspired Large Models
by: Pan, Yuqi, et al.
Published: (2025)
by: Pan, Yuqi, et al.
Published: (2025)
Kimi Linear: An Expressive, Efficient Attention Architecture
by: Kimi Team, et al.
Published: (2025)
by: Kimi Team, et al.
Published: (2025)
LoLA: Low-Rank Linear Attention With Sparse Caching
by: McDermott, Luke, et al.
Published: (2025)
by: McDermott, Luke, et al.
Published: (2025)
Alleviating Forgetfulness of Linear Attention by Hybrid Sparse Attention and Contextualized Learnable Token Eviction
by: He, Mutian, et al.
Published: (2025)
by: He, Mutian, et al.
Published: (2025)
Scale-invariant Attention
by: Anson, Ben, et al.
Published: (2025)
by: Anson, Ben, et al.
Published: (2025)
The Detection-Extraction Gap: Models Know the Answer Before They Can Say It
by: Wang, Hanyang, et al.
Published: (2026)
by: Wang, Hanyang, et al.
Published: (2026)
Learning and Transferring Sparse Contextual Bigrams with Linear Transformers
by: Ren, Yunwei, et al.
Published: (2024)
by: Ren, Yunwei, 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)
The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs
by: Nawrot, Piotr, et al.
Published: (2025)
by: Nawrot, Piotr, et al.
Published: (2025)
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking
by: Xing, Xingrun, et al.
Published: (2024)
by: Xing, Xingrun, et al.
Published: (2024)
Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models
by: Leng, Jiaqi, et al.
Published: (2025)
by: Leng, Jiaqi, et al.
Published: (2025)
Linear Attention Sequence Parallelism
by: Sun, Weigao, et al.
Published: (2024)
by: Sun, Weigao, et al.
Published: (2024)
Higher-order Linear Attention
by: Zhang, Yifan, et al.
Published: (2025)
by: Zhang, Yifan, et al.
Published: (2025)
NOSA: Native and Offloadable Sparse Attention
by: Huang, Yuxiang, et al.
Published: (2025)
by: Huang, Yuxiang, et al.
Published: (2025)
SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks
by: Zhu, Rui-Jie, et al.
Published: (2023)
by: Zhu, Rui-Jie, et al.
Published: (2023)
Gated Linear Attention Transformers with Hardware-Efficient Training
by: Yang, Songlin, et al.
Published: (2023)
by: Yang, Songlin, et al.
Published: (2023)
ZeCO: Zero Communication Overhead Sequence Parallelism for Linear Attention
by: Chou, Yuhong, et al.
Published: (2025)
by: Chou, Yuhong, et al.
Published: (2025)
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
by: You, Haoran, et al.
Published: (2024)
by: You, Haoran, et al.
Published: (2024)
Trainable Dynamic Mask Sparse Attention
by: Shi, Jingze, et al.
Published: (2025)
by: Shi, Jingze, et al.
Published: (2025)
Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition
by: He, Zhengfu, et al.
Published: (2025)
by: He, Zhengfu, et al.
Published: (2025)
Dimensional Collapse in Transformer Attention Outputs: A Challenge for Sparse Dictionary Learning
by: Wang, Junxuan, et al.
Published: (2025)
by: Wang, Junxuan, et al.
Published: (2025)
AdaSplash-2: Faster Differentiable Sparse Attention
by: Gonçalves, Nuno, et al.
Published: (2026)
by: Gonçalves, Nuno, et al.
Published: (2026)
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation
by: Xia, Mingxuan, et al.
Published: (2025)
by: Xia, Mingxuan, et al.
Published: (2025)
Model Unlearning via Sparse Autoencoder Subspace Guided Projections
by: Wang, Xu, et al.
Published: (2025)
by: Wang, Xu, et al.
Published: (2025)
Mixture of Sparse Attention: Content-Based Learnable Sparse Attention via Expert-Choice Routing
by: Piękos, Piotr, et al.
Published: (2025)
by: Piękos, Piotr, et al.
Published: (2025)
A Preliminary Study on the Promises and Challenges of Native Top-$k$ Sparse Attention
by: Xiu, Di, et al.
Published: (2025)
by: Xiu, Di, et al.
Published: (2025)
DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention
by: Huang, Yuxiang, et al.
Published: (2026)
by: Huang, Yuxiang, et al.
Published: (2026)
Sparser is Faster and Less is More: Efficient Sparse Attention for Long-Range Transformers
by: Lou, Chao, et al.
Published: (2024)
by: Lou, Chao, et al.
Published: (2024)
RAM-Net: Expressive Linear Attention with Selectively Addressable Memory
by: Xiao, Kaicheng, et al.
Published: (2026)
by: Xiao, Kaicheng, et al.
Published: (2026)
Similar Items
-
MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map
by: Chou, Yuhong, et al.
Published: (2024) -
Systematic Outliers in Large Language Models
by: An, Yongqi, et al.
Published: (2025) -
Scaling over Scaling: Exploring Test-Time Scaling Plateau in Large Reasoning Models
by: Wang, Jian, et al.
Published: (2025) -
PowerAttention: Exponentially Scaling of Receptive Fields for Effective Sparse Attention
by: Chen, Lida, et al.
Published: (2025) -
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models
by: He, Jinghan, et al.
Published: (2024)