2025 "computational cost reduction" Papers

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Attribution-Driven Adaptive Token Pruning for Transformers

YAOYAO YAN, Hui Yu, Weizhi Xu

NEURIPS 2025poster

Diffusion on Demand: Selective Caching and Modulation for Efficient Generation

Hee Min Choi, Hyoa Kang, Dokwan Oh et al.

NEURIPS 2025poster

MMTEB: Massive Multilingual Text Embedding Benchmark

Kenneth Enevoldsen, Isaac Chung, Imene Kerboua et al.

ICLR 2025posterarXiv:2502.13595

OmniCache: A Trajectory-Oriented Global Perspective on Training-Free Cache Reuse for Diffusion Transformer Models

Huanpeng Chu, Wei Wu, Guanyu Feng et al.

ICCV 2025posterarXiv:2508.16212

Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models

Wei Suo, Ji Ma, Mengyang Sun et al.

ICCV 2025posterarXiv:2412.06458

Reasoning Planning for Language Models

Ngoc Bao Nguyen, Trung Hieu Nguyen, Ruifeng She et al.

NEURIPS 2025spotlightarXiv:2511.00521

SMRS: advocating a unified reporting standard for surrogate models in the artificial intelligence era.

Elizaveta Semenova, Siobhan Mackenzie Hall, Timothy James Hitge et al.

NEURIPS 2025posterarXiv:2502.06753

TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training

Felix Krause, Timy Phan, Ming Gui et al.

ICCV 2025posterarXiv:2501.04765