2 papers
cs.CL2025
Probabilistic Subspace Manifolds for Contextual Inference in Large Language Models
Christopher Nightingale, Dominic Lavington, Jonathan Thistlethwaite +3
Representing token embeddings as probability distributions over learned manifolds allows for more flexible contextual inference, reducing representational rigidity while enhancing…
cs.CL2025
Context-Aware Neural Gradient Mapping for Fine-Grained Instruction Processing
David Boldo, Lily Pemberton, Gabriel Thistledown +2
The integration of contextual embeddings into the optimization processes of large language models is an advancement in natural language processing. The Context-Aware Neural Gradien…