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 31–40 of 95 papers

TitleStatusHype
SMR: State Memory Replay for Long Sequence Modeling—0
MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space—0
MambaVC: Learned Visual Compression with Selective State SpacesCode2
DVMSR: Distillated Vision Mamba for Efficient Super-ResolutionCode2
MambaAD: Exploring State Space Models for Multi-class Unsupervised Anomaly DetectionCode3
RS3Mamba: Visual State Space Model for Remote Sensing Images Semantic SegmentationCode0
LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image SegmentationCode2
MedMamba: Vision Mamba for Medical Image ClassificationCode4
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
MambaMorph: a Mamba-based Framework for Medical MR-CT Deformable RegistrationCode2
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