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#machine learning Preprint Sep 2026

GTR: Gated Token Recurrence for Efficient Dense Prediction

Self-attention-based vision backbones perform well on dense prediction, but the quadratic computational cost of global softmax attention limits their efficiency as image resolution increases. We introduce Gated Token Recurrence (GTR), a softmax-free recurrent vision backbone that combines gated linear attention, altern...

Zhe Feng, Long-Fei Liu, Wei Liu et al. · 0 citations
Aug 2026

Text-to-Motion Generation With Discrete Representations and Large Language Models.

This work investigates a simple yet effective conditional generative framework for text-to-motion generation and proposes T2M-GIT+, which employs a non-autoregressive method to generate discrete motion representations in parallel, and is therefore more efficient than T2M-GPT+ while achieving comparable results.

Jian-Rong Zhang, Yang-Song Zhang, Xiaodong Cun et al. · 0 citations

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