Tag: transformer models
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Transformer & Greedy Multi-Port Selection for Fluid Antennas
Explore efficient Transformer and greedy methods for multi-port selection in slow fluid antenna multiple access, boosting spectral efficiency and reducing...
Structural Rigidity & 57-Token Window in Large Language Models
Explore the 57-token predictive window and structural rigidity framework to improve inference-layer governability in large language models.
Gradient-Boosted Attention: Enhancing Single Layer Performance
Discover gradient-boosted attention, a novel method improving single-layer attention by correcting errors via a second pass for better NLP model accuracy.
Discovering Belief Geometries Using Sparse Autoencoders
Explore how sparse autoencoders reveal belief-state geometries in transformer models, advancing mechanistic interpretability of large language models.
Induction Heads and Temporal Dependencies in In-Context Learning
Explore how induction heads manage temporal dependencies in large language models, enhancing in-context learning and token retrieval accuracy.