SOTAVerified

Long-range modeling

A new task for testing the long-sequence modeling capabilities and efficiency of language models.

Image credit: SCROLLS: Standardized CompaRison Over Long Language Sequences

Papers

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Showing 61–70 of 95 papers

TitleStatusHype
Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?—0
S7: Selective and Simplified State Space Layers for Sequence Modeling—0
ZipIR: Latent Pyramid Diffusion Transformer for High-Resolution Image Restoration—0
CoLT5: Faster Long-Range Transformers with Conditional Computation—0
Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences—0
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy—0
Shuffle Mamba: State Space Models with Random Shuffle for Multi-Modal Image Fusion—0
Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network—0
M2Restore: Mixture-of-Experts-based Mamba-CNN Fusion Framework for All-in-One Image Restoration—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
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