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 51–60 of 95 papers

TitleStatusHype
V4D:4D Convolutional Neural Networks for Video-level Representation LearningCode1
VADMamba: Exploring State Space Models for Fast Video Anomaly DetectionCode1
ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM PretrainingCode1
Weakly Supervised Object Localization via Transformer with Implicit Spatial CalibrationCode1
What Makes Convolutional Models Great on Long Sequence Modeling?Code1
An Uncertainty Principle for Linear Recurrent Neural Networks—0
MambaXCTrack: Mamba-based Tracker with SSM Cross-correlation and Motion Prompt for Ultrasound Needle Tracking—0
ZipIR: Latent Pyramid Diffusion Transformer for High-Resolution Image Restoration—0
Diagonal State Spaces are as Effective as Structured State Spaces—0
CoLT5: Faster Long-Range Transformers with Conditional Computation—0
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