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 21–30 of 95 papers

TitleStatusHype
ChordMixer: A Scalable Neural Attention Model for Sequences with Different LengthsCode1
Adapting Pretrained Text-to-Text Models for Long Text SequencesCode1
Efficient Long-Text Understanding with Short-Text ModelsCode1
CAB: Comprehensive Attention Benchmarking on Long Sequence ModelingCode1
Efficiently Modeling Long Sequences with Structured State SpacesCode1
KM-UNet KAN Mamba UNet for medical image segmentationCode1
DSANet: Dynamic Segment Aggregation Network for Video-Level Representation LearningCode1
A Simple LLM Framework for Long-Range Video Question-AnsweringCode1
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action RecognitionCode1
Image Super-Resolution With Non-Local Sparse AttentionCode1
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