On the Existence and Behavior of Secondary Attention Sinks
Fuente:
arXiv
Saved in:
| Main Authors: | Wong, Jeffrey T. H., Zhang, Cheng, Mahon, Louis, Luk, Wayne, Isopoussu, Anton, Zhao, Yiren |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A3 : an Analytical Low-Rank Approximation Framework for Attention
by: Wong, Jeffrey T. H., et al.
Published: (2025)
by: Wong, Jeffrey T. H., et al.
Published: (2025)
Attention Sinks: A 'Catch, Tag, Release' Mechanism for Embeddings
by: Zhang, Stephen, et al.
Published: (2025)
by: Zhang, Stephen, et al.
Published: (2025)
When Attention Sink Emerges in Language Models: An Empirical View
by: Gu, Xiangming, et al.
Published: (2024)
by: Gu, Xiangming, et al.
Published: (2024)
Sink-Aware Pruning for Diffusion Language Models
by: Myrzakhan, Aidar, et al.
Published: (2026)
by: Myrzakhan, Aidar, et al.
Published: (2026)
OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference
by: Shin, Seungjun, et al.
Published: (2025)
by: Shin, Seungjun, et al.
Published: (2025)
Instruction Following by Principled Boosting Attention of Large Language Models
by: Guardieiro, Vitoria, et al.
Published: (2025)
by: Guardieiro, Vitoria, et al.
Published: (2025)
Detection vs. Execution: Single-Bucket Probes Miss Half the Mamba-2 State Sink
by: Jiang, Yuhang
Published: (2026)
by: Jiang, Yuhang
Published: (2026)
Native Hybrid Attention for Efficient Sequence Modeling
by: Du, Jusen, et al.
Published: (2025)
by: Du, Jusen, et al.
Published: (2025)
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)
Scaling Reasoning without Attention
by: Zhao, Xueliang, et al.
Published: (2025)
by: Zhao, Xueliang, et al.
Published: (2025)
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention
by: Yuan, Jingyang, et al.
Published: (2025)
by: Yuan, Jingyang, et al.
Published: (2025)
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)
From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs
by: Schiekiera, Louis, et al.
Published: (2026)
by: Schiekiera, Louis, et al.
Published: (2026)
Team of Thoughts: Efficient Test-time Scaling of Agentic Systems through Orchestrated Tool Calling
by: Wong, Jeffrey T. H., et al.
Published: (2026)
by: Wong, Jeffrey T. H., et al.
Published: (2026)
Demystifying the Slash Pattern in Attention: The Role of RoPE
by: Cheng, Yuan, et al.
Published: (2026)
by: Cheng, Yuan, et al.
Published: (2026)
Attention Needs to Focus: A Unified Perspective on Attention Allocation
by: Fu, Zichuan, et al.
Published: (2026)
by: Fu, Zichuan, et al.
Published: (2026)
Low-rank Optimization Trajectories Modeling for LLM RLVR Acceleration
by: Chen, Zhipeng, et al.
Published: (2026)
by: Chen, Zhipeng, et al.
Published: (2026)
Attention Sinks and Outliers in Attention Residuals
by: Luo, Haozheng, et al.
Published: (2026)
by: Luo, Haozheng, et al.
Published: (2026)
Every Attention Matters: An Efficient Hybrid Architecture for Long-Context Reasoning
by: Ling Team, et al.
Published: (2025)
by: Ling Team, et al.
Published: (2025)
ARIES: Autonomous Reasoning with LLMs on Interactive Thought Graph Environments
by: Gimenes, Pedro, et al.
Published: (2025)
by: Gimenes, Pedro, et al.
Published: (2025)
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)
Higher-order Linear Attention
by: Zhang, Yifan, et al.
Published: (2025)
by: Zhang, Yifan, et al.
Published: (2025)
LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid
by: Sun, Weigao, et al.
Published: (2025)
by: Sun, Weigao, et al.
Published: (2025)
The Spike, the Sparse and the Sink: Anatomy of Massive Activations and Attention Sinks
by: Sun, Shangwen, et al.
Published: (2026)
by: Sun, Shangwen, 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)
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
by: Zhang, Tianyi, et al.
Published: (2024)
by: Zhang, Tianyi, et al.
Published: (2024)
Training Tensor Attention Efficiently: From Cubic to Almost Linear Time
by: Cao, Yang, et al.
Published: (2024)
by: Cao, Yang, et al.
Published: (2024)
DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention
by: Huang, Yuxiang, et al.
Published: (2026)
by: Huang, Yuxiang, et al.
Published: (2026)
InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation
by: Zhao, Weilin, et al.
Published: (2025)
by: Zhao, Weilin, et al.
Published: (2025)
Beyond Linear Approximations: A Novel Pruning Approach for Attention Matrix
by: Liang, Yingyu, et al.
Published: (2024)
by: Liang, Yingyu, et al.
Published: (2024)
Large Language Models for Travel Behavior Prediction
by: Mo, Baichuan, et al.
Published: (2023)
by: Mo, Baichuan, et al.
Published: (2023)
Efficiently Dispatching Flash Attention For Partially Filled Attention Masks
by: Sharma, Agniv, et al.
Published: (2024)
by: Sharma, Agniv, et al.
Published: (2024)
DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning
by: Liao, Huanxuan, et al.
Published: (2025)
by: Liao, Huanxuan, et al.
Published: (2025)
Eigen Attention: Attention in Low-Rank Space for KV Cache Compression
by: Saxena, Utkarsh, et al.
Published: (2024)
by: Saxena, Utkarsh, et al.
Published: (2024)
Depth-Recurrent Attention Mixtures: Giving Latent Reasoning the Attention it Deserves
by: Knupp, Jonas, et al.
Published: (2026)
by: Knupp, Jonas, et al.
Published: (2026)
Tensor Product Attention Is All You Need
by: Zhang, Yifan, et al.
Published: (2025)
by: Zhang, Yifan, et al.
Published: (2025)
Multi-Turn Code Generation Through Single-Step Rewards
by: Jain, Arnav Kumar, et al.
Published: (2025)
by: Jain, Arnav Kumar, et al.
Published: (2025)
Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models
by: Chen, Zhipeng, et al.
Published: (2025)
by: Chen, Zhipeng, 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)
Similar Items
-
A3 : an Analytical Low-Rank Approximation Framework for Attention
by: Wong, Jeffrey T. H., et al.
Published: (2025) -
Attention Sinks: A 'Catch, Tag, Release' Mechanism for Embeddings
by: Zhang, Stephen, et al.
Published: (2025) -
When Attention Sink Emerges in Language Models: An Empirical View
by: Gu, Xiangming, et al.
Published: (2024) -
Sink-Aware Pruning for Diffusion Language Models
by: Myrzakhan, Aidar, et al.
Published: (2026) -
OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference
by: Shin, Seungjun, et al.
Published: (2025)