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 71–80 of 95 papers

TitleStatusHype
Simplified State Space Layers for Sequence ModelingCode2
Investigating Efficiently Extending Transformers for Long Input SummarizationCode3
U-Net vs Transformer: Is U-Net Outdated in Medical Image Registration?Code1
Efficient Long-Text Understanding with Short-Text ModelsCode1
Weakly Supervised Object Localization via Transformer with Implicit Spatial CalibrationCode1
How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections—0
On the Parameterization and Initialization of Diagonal State Space Models—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
ChordMixer: A Scalable Neural Attention Model for Sequences with Different LengthsCode1
UL2: Unifying Language Learning ParadigmsCode1
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