sequence processing

DeciMamba: Exploring the Length Extrapolation Potential of Mamba ICLR 2025 Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training NAACL 2025 Does the structure of textual content have an impact on language models for automatic summarization? ACL 2024 Perceiving Longer Sequences With Bi-Directional Cross-Attention Transformers NeurIPS 2024 SMR: State Memory Replay for Long Sequence Modeling ACL 2024 What Makes Models Compositional? A Theoretical View IJCAI 2024 Investigating Efficiently Extending Transformers for Long Input Summarization EMNLP 2023 Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies NeurIPS 2023 Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability NeurIPS 2023 Neural Differential Equations for Learning to Program Neural Nets Through Continuous Learning Rules NeurIPS 2022 Recurrent Memory Transformer NeurIPS 2022 SFSRNet: Super-resolution for Single-Channel Audio Source Separation AAAI 2022 Sketching as a Tool for Understanding and Accelerating Self-attention for Long Sequences NAACL 2022 Are Transformers a Modern Version of ELIZA? Observations on French Object Verb Agreement EMNLP 2021 Controlled tasks for model analysis: Retrieving discrete information from sequences EMNLP 2021 Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences AAAI 2021 The Recurrent Neural Tangent Kernel ICLR 2021 Thinking Like Transformers ICML 2021 How Can Self-Attention Networks Recognize Dyck-n Languages? EMNLP 2020 Linear Dynamical Systems as a Core Computational Primitive NeurIPS 2020 Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) Time NeurIPS 2019 Word-order Biases in Deep-agent Emergent Communication ACL 2019 Sliced Recurrent Neural Networks COLING 2018 Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks JMLR 2017 Programming with a Differentiable Forth Interpreter ICML 2017