Co-occurring keywords · papers mentioning both
Papers
Why Are Positional Encodings Nonessential for Deep Autoregressive Transformers? A Petroglyph Revisited
ACL 2025
A 2-Dimensional State Space Layer for Spatial Inductive Bias
ICLR 2024
Activating Self-Attention for Multi-Scene Absolute Pose Regression
NeurIPS 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
NeurIPS 2024
Algebraic Positional Encodings
NeurIPS 2024
Aligning Transformers with Weisfeiler-Leman
ICML 2024
A Morphology-Based Investigation of Positional Encodings
EMNLP 2024
An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding
NeurIPS 2024
Base of RoPE Bounds Context Length
NeurIPS 2024
BEACON: Benchmark for Comprehensive RNA Tasks and Language Models
NeurIPS 2024
Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models
IJCAI 2024
Comparing Graph Transformers via Positional Encodings
ICML 2024
DAPE: Data-Adaptive Positional Encoding for Length Extrapolation
NeurIPS 2024
Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models
ACL 2024
Distinguished In Uniform: Self-Attention Vs. Virtual Nodes
ICLR 2024
Effective Structural Encodings via Local Curvature Profiles
ICLR 2024
Enhancing Graph Transformers with Hierarchical Distance Structural Encoding
NeurIPS 2024
Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
CVPR 2024
Exploring Context Window of Large Language Models via Decomposed Positional Vectors
NeurIPS 2024
Extending Context Window of Large Language Models from a Distributional Perspective
EMNLP 2024
Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers
NeurIPS 2024
Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding
NeurIPS 2024
GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
AAAI 2024
Graph Positional and Structural Encoder
ICML 2024
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers
ICLR 2024