3 papers
cs.CL2025
Exploring Synaptic Resonance in Large Language Models: A Novel Approach to Contextual Memory Integration
George Applegarth, Christian Weatherstone, Maximilian Hollingsworth +2
Contextual memory integration remains a high challenge in the development of language models, particularly in tasks that require maintaining coherence over extended sequences. Trad…
cs.CL2025
Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration
Offa Kingsleigh, Alfred Abercrombie, David Woolstencroft +2
Contextual Partitioning introduces an innovative approach to enhancing the architectural design of large-scale computational models through the dynamic segmentation of parameters i…
cs.CL2025
Neural Contextual Reinforcement Framework for Logical Structure Language Generation
Marcus Irvin, William Cooper, Edward Hughes +2
The Neural Contextual Reinforcement Framework introduces an innovative approach to enhancing the logical coherence and structural consistency of text generated by large language mo…