You Only Scan Once: Efficient Multi-dimension Sequential Modeling with LightNet
Fuente:
arXiv
Saved in:
| Main Authors: | Qin, Zhen, Mao, Yuxin, Shen, Xuyang, Li, Dong, Zhang, Jing, Dai, Yuchao, Zhong, Yiran |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Elucidating the Design Space of Decay in Linear Attention
by: Qin, Zhen, et al.
Published: (2025)
by: Qin, Zhen, et al.
Published: (2025)
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention
by: Qin, Zhen, et al.
Published: (2024)
by: Qin, Zhen, et al.
Published: (2024)
Scaling Laws for Linear Complexity Language Models
by: Shen, Xuyang, et al.
Published: (2024)
by: Shen, Xuyang, et al.
Published: (2024)
You Only Cache Once: Decoder-Decoder Architectures for Language Models
by: Sun, Yutao, et al.
Published: (2024)
by: Sun, Yutao, et al.
Published: (2024)
TAVGBench: Benchmarking Text to Audible-Video Generation
by: Mao, Yuxin, et al.
Published: (2024)
by: Mao, Yuxin, et al.
Published: (2024)
CO2: Efficient Distributed Training with Full Communication-Computation Overlap
by: Sun, Weigao, et al.
Published: (2024)
by: Sun, Weigao, et al.
Published: (2024)
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
by: Qin, Zhen, et al.
Published: (2024)
by: Qin, Zhen, et al.
Published: (2024)
Linear Attention Sequence Parallelism
by: Sun, Weigao, et al.
Published: (2024)
by: Sun, Weigao, et al.
Published: (2024)
FlashSampling: Fast and Memory-Efficient Exact Sampling
by: Ruiz, Tomas, et al.
Published: (2026)
by: Ruiz, Tomas, et al.
Published: (2026)
HGRN2: Gated Linear RNNs with State Expansion
by: Qin, Zhen, et al.
Published: (2024)
by: Qin, Zhen, et al.
Published: (2024)
Unlocking the Secrets of Linear Complexity Sequence Model from A Unified Perspective
by: Qin, Zhen, et al.
Published: (2024)
by: Qin, Zhen, et al.
Published: (2024)
Autoregressive Image Generation with Linear Complexity: A Spatial-Aware Decay Perspective
by: Mao, Yuxin, et al.
Published: (2025)
by: Mao, Yuxin, et al.
Published: (2025)
You Only Prune Once: Designing Calibration-Free Model Compression With Policy Learning
by: Sengupta, Ayan, et al.
Published: (2025)
by: Sengupta, Ayan, et al.
Published: (2025)
You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL
by: Kobayashi, Hideo, et al.
Published: (2024)
by: Kobayashi, Hideo, et al.
Published: (2024)
You Only Align Once: Propagating Cooperative Behaviors in Multi-Agent Systems through Seed Agents
by: Hsing, Nicole, et al.
Published: (2026)
by: Hsing, Nicole, et al.
Published: (2026)
Learning Spatial Decay for Vision Transformers
by: Mao, Yuxin, et al.
Published: (2025)
by: Mao, Yuxin, et al.
Published: (2025)
You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models
by: He, Wenchong, et al.
Published: (2025)
by: He, Wenchong, et al.
Published: (2025)
TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer
by: Qin, Zhen, et al.
Published: (2023)
by: Qin, Zhen, et al.
Published: (2023)
AgenticOCR: Parsing Only What You Need for Efficient Retrieval-Augmented Generation
by: Wang, Zhengren, et al.
Published: (2026)
by: Wang, Zhengren, et al.
Published: (2026)
Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme
by: Ma, Yan, et al.
Published: (2025)
by: Ma, Yan, et al.
Published: (2025)
Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos
by: Pan, Yulin, et al.
Published: (2023)
by: Pan, Yulin, et al.
Published: (2023)
Think Only When You Need with Large Hybrid-Reasoning Models
by: Jiang, Lingjie, et al.
Published: (2025)
by: Jiang, Lingjie, et al.
Published: (2025)
You Only Train Once
by: Sakaridis, Christos
Published: (2025)
by: Sakaridis, Christos
Published: (2025)
Only Send What You Need: Learning to Communicate Efficiently in Federated Multilingual Machine Translation
by: Chu, Yun-Wei, et al.
Published: (2024)
by: Chu, Yun-Wei, et al.
Published: (2024)
You Sense Only Once Beneath: Ultra-Light Real-Time Underwater Object Detection
by: Dong, Jun, et al.
Published: (2025)
by: Dong, Jun, et al.
Published: (2025)
You Only Speak Once to See
by: Yang, Wenhao, et al.
Published: (2024)
by: Yang, Wenhao, et al.
Published: (2024)
Deep Non-rigid Structure-from-Motion Revisited: Canonicalization and Sequence Modeling
by: Deng, Hui, et al.
Published: (2024)
by: Deng, Hui, et al.
Published: (2024)
Contrastive Conditional Latent Diffusion for Audio-visual Segmentation
by: Mao, Yuxin, et al.
Published: (2023)
by: Mao, Yuxin, et al.
Published: (2023)
You Never Know a Person, You Only Know Their Defenses: Detecting Levels of Psychological Defense Mechanisms in Supportive Conversations
by: Na, Hongbin, et al.
Published: (2025)
by: Na, Hongbin, et al.
Published: (2025)
You Only Look at Once for Real-time and Generic Multi-Task
by: Wang, Jiayuan, et al.
Published: (2023)
by: Wang, Jiayuan, et al.
Published: (2023)
One RL to See Them All: Visual Triple Unified Reinforcement Learning
by: Ma, Yan, et al.
Published: (2025)
by: Ma, Yan, et al.
Published: (2025)
You Only Look at Screens: Multimodal Chain-of-Action Agents
by: Zhang, Zhuosheng, et al.
Published: (2023)
by: Zhang, Zhuosheng, et al.
Published: (2023)
Only Say What You Know: Calibration-Aware Generation for Long-Form Factuality
by: Luo, Wen, et al.
Published: (2026)
by: Luo, Wen, et al.
Published: (2026)
Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling
by: Shao, Shitong, et al.
Published: (2023)
by: Shao, Shitong, et al.
Published: (2023)
ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention
by: Liu, Wenjie, et al.
Published: (2026)
by: Liu, Wenjie, et al.
Published: (2026)
SSR: A Training-Free Approach for Streaming 3D Reconstruction
by: Deng, Hui, et al.
Published: (2026)
by: Deng, Hui, et al.
Published: (2026)
You Only Landmark Once: Lightweight U-Net Face Super Resolution with YOLO-World Landmark Heatmaps
by: Carraro, Riccardo, et al.
Published: (2026)
by: Carraro, Riccardo, et al.
Published: (2026)
Train Once for All: A Transitional Approach for Efficient Aspect Sentiment Triplet Extraction
by: Hou, Xinmeng, et al.
Published: (2024)
by: Hou, Xinmeng, et al.
Published: (2024)
Towards Efficient and Effective Alignment of Large Language Models
by: Jiang, Yuxin
Published: (2025)
by: Jiang, Yuxin
Published: (2025)
You Only Scan Once: A Dynamic Scene Reconstruction Pipeline for 6-DoF Robotic Grasping of Novel Objects
by: Zhou, Lei, et al.
Published: (2024)
by: Zhou, Lei, et al.
Published: (2024)
Similar Items
-
Elucidating the Design Space of Decay in Linear Attention
by: Qin, Zhen, et al.
Published: (2025) -
Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention
by: Qin, Zhen, et al.
Published: (2024) -
Scaling Laws for Linear Complexity Language Models
by: Shen, Xuyang, et al.
Published: (2024) -
You Only Cache Once: Decoder-Decoder Architectures for Language Models
by: Sun, Yutao, et al.
Published: (2024) -
TAVGBench: Benchmarking Text to Audible-Video Generation
by: Mao, Yuxin, et al.
Published: (2024)