Overview

Efficient attention studies how to reduce the cost of comparing queries with keys, especially for long sequences and constrained hardware. Approaches include IO-aware fused kernels, sparse or hierarchical retrieval, linear and recurrent attention, and KV-cache compression; many combine algorithm design with GPU or accelerator-specific kernels. Evaluation spans language modeling and long-context retrieval as well as vision, video, and other sequence tasks, where quality, latency, memory, and energy can trade off differently. A central tension is that practical methods can work well on structured inputs, while preserving full-attention quality across arbitrary inputs—and providing strong guarantees—remains difficult.

Latest papers

CardsList

138 papers17 papers in the last four weeks, down 6% on the four weeks before. 0.1% of all new papers.

  1. S-VGGT: Structure-Aware Subscene Decomposition for Scalable 3D Foundation Models

    Mar 18, 2026Xinze Li, Pengxu Chen, Yiyuan Wang +23D Foundation ModelsEfficient Attention

  2. Scaling Attention via Feature Sparsity

    Mar 17, 2026Yan Xie, Tiansheng Wen, Tangda Huang +4Transformer AttentionEfficient Attention

  3. Why Attend to Everything? Focus is the Key

    Mar 12, 2026Hengshuai Yao, Xing Chen, Ahmed Murtadha +8Attention MechanismsEfficient Attention

  4. Beyond Pairwise Attention: Higher-Order Modular Attention for Efficient Sequence Learning

    Mar 11, 2026Shirin Amiraslani, Xin GaoSelf-AttentionTransformer Attention

  5. LinearARD: Linear-Memory Attention Distillation for RoPE Restoration

    Mar 9, 2026Ning Yang, Hengyu Zhong, Wentao Wang +4Attention-Guided DistillationMemory-Efficient Attention

  6. SketchGraphNet: A Memory-Efficient Hybrid Graph Transformer for Large-Scale Sketch Corpora Recognition

    Mar 8, 2026Shilong Chen, Mingyuan Li, Zhaoyang Wang +2Memory-Efficient AttentionGraph Transformer

  7. FlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scaling

    Mar 5, 2026Ted Zadouri, Markus Hoehnerbach, Jay Shah +3Efficient AttentionGPU Kernel Optimization

  8. TiledAttention: a CUDA Tile SDPA Kernel for PyTorch

    Mar 2, 2026Taimur KhanGPU Kernel OptimizationSelf-Attention

  9. Spectral Attention Steering for Prompt Highlighting

    Mar 1, 2026Weixian Waylon Li, Yuchen Niu, Yongxin Yang +3Language Model SteeringEfficient Attention

  10. An Evaluation of Context Length Extrapolation in Long Code via Positional Embeddings and Efficient Attention

    Feb 25, 2026Madhusudan Ghosh, Rishabh GuptaLong-Context ModelingLong-Context Language Model Evaluation

  11. FlashBlock: Attention Caching for Efficient Long-Context Block Diffusion

    Feb 5, 2026Zhuokun Chen, Jianfei Cai, Bohan ZhuangVideo Diffusion ModelsSelf-Attention

  12. Transform Trained Transformer for Accelerating Native 4K Video Generation

    Dec 15, 2025Jiangning Zhang, Junwei Zhu, Teng Hu +9Efficient Transformer InferenceHigh-Resolution Video Generation

  13. Accelerating Attention with Basis Decomposition

    Oct 2, 2025Jialin ZhaoSelf-AttentionTransformer Attention

  14. SEMA: a Scalable and Efficient Mamba like Attention via Token Localization and Averaging

    Jun 10, 2025Nhat Thanh Tran, Fanghui Xue, Shuai Zhang +4Self-AttentionVision Transformer