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long-range dependencies

46 papers

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Co-occurring keywords · papers mentioning both

long-range dependency (9) state space model (9) graph neural network (6) sequence modeling (5) recurrent neural network (4) neural network (2) node classification (2) convolutional neural network (2) time series forecasting (2) message passing (2)

Papers

Remember Me: Bridging the Long-Range Gap in LVLMs with Three-Step Inference-Only Decay Resilience Strategies AAAI 2026 BARNN: A Bayesian Autoregressive and Recurrent Neural Network ICML 2025 Dialogue Without Limits: Constant-Sized KV Caches for Extended Response in LLMs ICML 2025 EvoMesh: Adaptive Physical Simulation with Hierarchical Graph Evolutions ICML 2025 GATEAU: Selecting Influential Samples for Long Context Alignment EMNLP 2025 GLoRa: A Benchmark to Evaluate the Ability to Learn Long-Range Dependencies in Graphs ICLR 2025 Graph Adaptive Autoregressive Moving Average Models ICML 2025 Implicit Subgraph Neural Network ICML 2025 Improving the Effective Receptive Field of Message-Passing Neural Networks ICML 2025 K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach AAAI 2025 LongAttn: Selecting Long-context Training Data via Token-level Attention ACL 2025 Oscillatory State-Space Models ICLR 2025 QEM-Bench: Benchmarking Learning-based Quantum Error Mitigation and QEMFormer as a Multi-ranged Context Learning Baseline ICML 2025 RhythmMamba: Fast, Lightweight, and Accurate Remote Physiological Measurement AAAI 2025 SEM-Net: Efficient Pixel Modelling for Image Inpainting with Spatially Enhanced SSM WACV 2025 Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing ICLR 2025 A Dual-module Framework for Counterfactual Estimation over Time ICML 2024 BlockEcho: Retaining Long-Range Dependencies for Imputing Block-Wise Missing Data IJCAI 2024 ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models NeurIPS 2024 Incorporating Exponential Smoothing into MLP: a Simple but Effective Sequence Model NAACL 2024 Neurocache: Efficient Vector Retrieval for Long-range Language Modeling NAACL 2024 PGN: The RNN's New Successor is Effective for Long-Range Time Series Forecasting NeurIPS 2024 Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling NeurIPS 2024 SEMA: Semantic Attention for Capturing Long-Range Dependencies in Egocentric Lifelogs WACV 2024 Convolutional State Space Models for Long-Range Spatiotemporal Modeling NeurIPS 2023