Parallax: Parameterized Local Linear Attention for Language Modeling
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Zuo, Yifei, Pai, Dhruv, Zeng, Zhichen, Dewulf, Alec, Hu, Shuming, Wang, Zhaoran |
|---|---|
| Format: | Preprint |
| Publié: |
2026
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Local Linear Attention: An Optimal Interpolation of Linear and Softmax Attention For Test-Time Regression
par: Zuo, Yifei, et autres
Publié: (2025)
par: Zuo, Yifei, et autres
Publié: (2025)
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
par: Zhong, Han, et autres
Publié: (2025)
par: Zhong, Han, et autres
Publié: (2025)
ALAS: Autonomous Learning Agent for Self-Updating Language Models
par: Atreja, Dhruv
Publié: (2025)
par: Atreja, Dhruv
Publié: (2025)
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
par: Yin, Yutong, et autres
Publié: (2025)
par: Yin, Yutong, et autres
Publié: (2025)
Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Models
par: Wang, Yulong, et autres
Publié: (2024)
par: Wang, Yulong, et autres
Publié: (2024)
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
par: You, Haoran, et autres
Publié: (2024)
par: You, Haoran, et autres
Publié: (2024)
Attention Speaks Volumes: Localizing and Mitigating Bias in Language Models
par: Adiga, Rishabh, et autres
Publié: (2024)
par: Adiga, Rishabh, et autres
Publié: (2024)
Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
par: Zhou, Zhanhui, et autres
Publié: (2024)
par: Zhou, Zhanhui, et autres
Publié: (2024)
Higher-order Linear Attention
par: Zhang, Yifan, et autres
Publié: (2025)
par: Zhang, Yifan, et autres
Publié: (2025)
Mixture of Heterogeneous Grouped Experts for Language Modeling
par: Ma, Zhicheng, et autres
Publié: (2026)
par: Ma, Zhicheng, et autres
Publié: (2026)
Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs
par: Zhu, Kan, et autres
Publié: (2025)
par: Zhu, Kan, et autres
Publié: (2025)
Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!
par: Zhou, Zhanhui, et autres
Publié: (2024)
par: Zhou, Zhanhui, et autres
Publié: (2024)
Liger: Linearizing Large Language Models to Gated Recurrent Structures
par: Lan, Disen, et autres
Publié: (2025)
par: Lan, Disen, et autres
Publié: (2025)
CORM: Cache Optimization with Recent Message for Large Language Model Inference
par: Dai, Jincheng, et autres
Publié: (2024)
par: Dai, Jincheng, et autres
Publié: (2024)
MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling
par: MiniCPM Team, et autres
Publié: (2026)
par: MiniCPM Team, et autres
Publié: (2026)
Untangling Component Imbalance in Hybrid Linear Attention Conversion Methods
par: Benfeghoul, Martin, et autres
Publié: (2025)
par: Benfeghoul, Martin, et autres
Publié: (2025)
SAIL: Self-Improving Efficient Online Alignment of Large Language Models
par: Ding, Mucong, et autres
Publié: (2024)
par: Ding, Mucong, et autres
Publié: (2024)
Auto-ICL: In-Context Learning without Human Supervision
par: Yang, Jinghan, et autres
Publié: (2023)
par: Yang, Jinghan, et autres
Publié: (2023)
When Attention Sink Emerges in Language Models: An Empirical View
par: Gu, Xiangming, et autres
Publié: (2024)
par: Gu, Xiangming, et autres
Publié: (2024)
Equivalent Linear Mappings of Large Language Models
par: Golden, James R.
Publié: (2025)
par: Golden, James R.
Publié: (2025)
Sliding Window Attention Training for Efficient Large Language Models
par: Fu, Zichuan, et autres
Publié: (2025)
par: Fu, Zichuan, et autres
Publié: (2025)
ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
par: Wang, Siwei, et autres
Publié: (2024)
par: Wang, Siwei, et autres
Publié: (2024)
SLOT: Structuring the Output of Large Language Models
par: Wang, Darren Yow-Bang, et autres
Publié: (2025)
par: Wang, Darren Yow-Bang, et autres
Publié: (2025)
Self-Improvement in Language Models: The Sharpening Mechanism
par: Huang, Audrey, et autres
Publié: (2024)
par: Huang, Audrey, et autres
Publié: (2024)
Token-Efficient Leverage Learning in Large Language Models
par: Zeng, Yuanhao, et autres
Publié: (2024)
par: Zeng, Yuanhao, et autres
Publié: (2024)
Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models
par: Bello, Femi, et autres
Publié: (2025)
par: Bello, Femi, et autres
Publié: (2025)
The Linear Representation Hypothesis and the Geometry of Large Language Models
par: Park, Kiho, et autres
Publié: (2023)
par: Park, Kiho, et autres
Publié: (2023)
Understanding and Improving Length Generalization in Hierarchical Sparse Attention Models
par: Leng, Jiaqi, et autres
Publié: (2025)
par: Leng, Jiaqi, et autres
Publié: (2025)
Scaling Attention to Very Long Sequences in Linear Time with Wavelet-Enhanced Random Spectral Attention (WERSA)
par: Dentamaro, Vincenzo
Publié: (2025)
par: Dentamaro, Vincenzo
Publié: (2025)
Explicit Multi-head Attention for Inter-head Interaction in Large Language Models
par: Peng, Runyu, et autres
Publié: (2026)
par: Peng, Runyu, et autres
Publié: (2026)
LMDX: Language Model-based Document Information Extraction and Localization
par: Perot, Vincent, et autres
Publié: (2023)
par: Perot, Vincent, et autres
Publié: (2023)
Native Hybrid Attention for Efficient Sequence Modeling
par: Du, Jusen, et autres
Publié: (2025)
par: Du, Jusen, et autres
Publié: (2025)
Shaping capabilities with token-level data filtering
par: Rathi, Neil, et autres
Publié: (2026)
par: Rathi, Neil, et autres
Publié: (2026)
HiCI: Hierarchical Construction-Integration for Long-Context Attention
par: Zeng, Xiangyu, et autres
Publié: (2026)
par: Zeng, Xiangyu, et autres
Publié: (2026)
Learning to Reason as Action Abstractions with Scalable Mid-Training RL
par: Zhang, Shenao, et autres
Publié: (2025)
par: Zhang, Shenao, et autres
Publié: (2025)
Instruction Following by Principled Boosting Attention of Large Language Models
par: Guardieiro, Vitoria, et autres
Publié: (2025)
par: Guardieiro, Vitoria, et autres
Publié: (2025)
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
par: Duan, Jinhao, et autres
Publié: (2023)
par: Duan, Jinhao, et autres
Publié: (2023)
LoLCATs: On Low-Rank Linearizing of Large Language Models
par: Zhang, Michael, et autres
Publié: (2024)
par: Zhang, Michael, et autres
Publié: (2024)
The Structure of Relation Decoding Linear Operators in Large Language Models
par: Christ, Miranda Anna, et autres
Publié: (2025)
par: Christ, Miranda Anna, et autres
Publié: (2025)
Let Models Speak Ciphers: Multiagent Debate through Embeddings
par: Pham, Chau, et autres
Publié: (2023)
par: Pham, Chau, et autres
Publié: (2023)
Documents similaires
-
Local Linear Attention: An Optimal Interpolation of Linear and Softmax Attention For Test-Time Regression
par: Zuo, Yifei, et autres
Publié: (2025) -
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
par: Zhong, Han, et autres
Publié: (2025) -
ALAS: Autonomous Learning Agent for Self-Updating Language Models
par: Atreja, Dhruv
Publié: (2025) -
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
par: Yin, Yutong, et autres
Publié: (2025) -
Linear Chain Transformation: Expanding Optimization Dynamics for Fine-Tuning Large Language Models
par: Wang, Yulong, et autres
Publié: (2024)