long sequence modeling

Can Natural Image Autoencoders Compactly Tokenize fMRI Volumes for Long-Range Dynamics Modeling? CVPR 2026 Continuous-Time Attention: PDE-Guided Mechanisms for Long-Sequence Transformers EMNLP 2025 DCTMamba: Advancing JPEG Image Restoration Through Long-Sequence Modeling and Adaptive Frequency Strategy AAAI 2025 Iterative Sparse Attention for Long-sequence Recommendation AAAI 2025 MambaPro: Multi-Modal Object Re-identification with Mamba Aggregation and Synergistic Prompt AAAI 2025 TreeKV: Smooth Key-Value Cache Compression with Tree Structures IJCAI 2025 CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling EMNLP 2024 Long Sequence Modeling with Attention Tensorization: From Sequence to Tensor Learning EMNLP 2024 LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory IJCAI 2024 Proxyformer: Nyström-Based Linear Transformer with Trainable Proxy Tokens AAAI 2024 Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling NeurIPS 2024 SMR: State Memory Replay for Long Sequence Modeling ACL 2024 Adaptive Attention for Sparse-based Long-sequence Transformer ACL 2023 CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling ICML 2023 Diffuser: Efficient Transformers with Multi-Hop Attention Diffusion for Long Sequences AAAI 2023 Investigating Efficiently Extending Transformers for Long Input Summarization EMNLP 2023 Resurrecting Recurrent Neural Networks for Long Sequences ICML 2023 VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens NeurIPS 2023 What Makes Convolutional Models Great on Long Sequence Modeling? ICLR 2023 It’s Raw! Audio Generation with State-Space Models ICML 2022 Long-range Sequence Modeling with Predictable Sparse Attention ACL 2022 PermuteFormer: Efficient Relative Position Encoding for Long Sequences EMNLP 2021 Reformer: The Efficient Transformer ICLR 2020