2025 "transformer efficiency" Papers

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Attribution-Driven Adaptive Token Pruning for Transformers

YAOYAO YAN, Hui Yu, Weizhi Xu

NeurIPS 2025poster

Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency

Naoki Nishikawa, Rei Higuchi, Taiji Suzuki

NeurIPS 2025posterarXiv:2507.03340
1
citations

Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models

Yongxin Guo, Zhenglin Cheng, Xiaoying Tang et al.

ICLR 2025posterarXiv:2405.14297
33
citations

FlashBias: Fast Computation of Attention with Bias

Haixu Wu, Minghao Guo, Yuezhou Ma et al.

NeurIPS 2025posterarXiv:2505.12044
1
citations

Fourier Token Merging: Understanding and Capitalizing Frequency Domain for Efficient Image Generation

Jiesong Liu, Xipeng Shen

NeurIPS 2025poster

LevAttention: Time, Space and Streaming Efficient Algorithm for Heavy Attentions

Ravindran Kannan, Chiranjib Bhattacharyya, Praneeth Kacham et al.

ICLR 2025posterarXiv:2410.05462
1
citations

ZeroS: Zero‑Sum Linear Attention for Efficient Transformers

Jiecheng Lu, Xu Han, Yan Sun et al.

NeurIPS 2025spotlight