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

Showing 1120 of 95 papers

TitleStatusHype
vGamba: Attentive State Space Bottleneck for efficient Long-range Dependencies in Visual RecognitionCode0
Emulating Self-attention with Convolution for Efficient Image Super-ResolutionCode2
An Uncertainty Principle for Linear Recurrent Neural Networks0
Is Long Range Sequential Modeling Necessary For Colorectal Tumor Segmentation?0
ReGNet: Reciprocal Space-Aware Long-Range Modeling for Crystalline Property Prediction0
KM-UNet KAN Mamba UNet for medical image segmentationCode1
Exploring Historical Information for RGBE Visual Tracking with Mamba0
GIRAFFE: Design Choices for Extending the Context Length of Visual Language ModelsCode1
MambaXCTrack: Mamba-based Tracker with SSM Cross-correlation and Motion Prompt for Ultrasound Needle Tracking0
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT DenoisingCode1
Show:102550
← PrevPage 2 of 10Next →

No leaderboard results yet.