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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 11–20 of 95 papers

TitleStatusHype
MambaVC: Learned Visual Compression with Selective State SpacesCode2
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
Liquid Structural State-Space ModelsCode2
Simplified State Space Layers for Sequence ModelingCode2
DVMSR: Distillated Vision Mamba for Efficient Super-ResolutionCode2
LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image SegmentationCode2
MambaFusion: Height-Fidelity Dense Global Fusion for Multi-modal 3D Object DetectionCode2
Emulating Self-attention with Convolution for Efficient Image Super-ResolutionCode2
Classification of Long Sequential Data using Circular Dilated Convolutional Neural NetworksCode1
ChordMixer: A Scalable Neural Attention Model for Sequences with Different LengthsCode1
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