Cover Image

Exploring Contextual Flux in Large Language Models: A Novel Approach to Self-Modulating Semantic Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Evidail, Henry, Mountebank, Zachary, Hathersage, Alistair, Stanhope, Peter, Ravenscroft, Basil, Waddingham, Tobias
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Contextual Morphogenesis in Large Language Models: A Novel Approach to Self-Organizing Token Representations
by: Dombrowski, Alistair, et al.
Published: (2025)

Lexical Manifold Reconfiguration in Large Language Models: A Novel Architectural Approach for Contextual Modulation
by: Vassilis, Koinis, et al.
Published: (2025)

Exploring Synaptic Resonance in Large Language Models: A Novel Approach to Contextual Memory Integration
by: Applegarth, George, et al.
Published: (2025)

Context-Preserving Gradient Modulation for Large Language Models: A Novel Approach to Semantic Consistency in Long-Form Text Generation
by: Kobanov, Nirola, et al.
Published: (2025)

Latent Convergence Modulation in Large Language Models: A Novel Approach to Iterative Contextual Realignment
by: Porretta, Patricia, et al.
Published: (2025)

Contextual Compression Encoding for Large Language Models: A Novel Framework for Multi-Layered Parameter Space Pruning
by: Schmitt, Barnaby, et al.
Published: (2025)

Latent Lexical Projection in Large Language Models: A Novel Approach to Implicit Representation Refinement
by: Shaker, Ziad, et al.
Published: (2025)

Contextual Subspace Manifold Projection for Structural Refinement of Large Language Model Representations
by: Wren, Alistair, et al.
Published: (2025)

Intrinsic Tensor Field Propagation in Large Language Models: A Novel Approach to Contextual Information Flow
by: Bexley, Alfred, et al.
Published: (2025)

Gradient-Regularized Latent Space Modulation in Large Language Models for Structured Contextual Synthesis
by: Yotheringhay, Derek, et al.
Published: (2025)

Tracing Pharmacological Knowledge In Large Language Models
by: Khwaja, Basil Hasan, et al.
Published: (2026)

Architectural Fusion Through Contextual Partitioning in Large Language Models: A Novel Approach to Parameterized Knowledge Integration
by: Kingsleigh, Offa, et al.
Published: (2025)

Semantic Layered Embedding Diffusion in Large Language Models for Multi-Contextual Consistency
by: Kabakum, Irin, et al.
Published: (2025)

Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models
by: Pan, Dayan, et al.
Published: (2025)

Pointing out the Shortcomings of Relation Extraction Models with Semantically Motivated Adversarials
by: Nolano, Gennaro, et al.
Published: (2024)

Identity-Aware Large Language Models require Cultural Reasoning
by: Plum, Alistair, et al.
Published: (2025)

Framework for Progressive Knowledge Fusion in Large Language Models Through Structured Conceptual Redundancy Analysis
by: Sakau, Joseph, et al.
Published: (2025)

In-Contextual Gender Bias Suppression for Large Language Models
by: Oba, Daisuke, et al.
Published: (2023)

Infusing Knowledge into Large Language Models with Contextual Prompts
by: Vasisht, Kinshuk, et al.
Published: (2024)

Quantum-Like Contextuality in Large Language Models
by: Lo, Kin Ian, et al.
Published: (2024)

Sparse Feature Coactivation Reveals Causal Semantic Modules in Large Language Models
by: Deng, Ruixuan, et al.
Published: (2025)

Exploring Self-supervised Logic-enhanced Training for Large Language Models
by: Jiao, Fangkai, et al.
Published: (2023)

Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models
by: Li, Miaoran, et al.
Published: (2023)

Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding
by: Jin, Mingyu, et al.
Published: (2025)

A Novel Self-Evolution Framework for Large Language Models
by: Sun, Haoran, et al.
Published: (2025)

Structural Embedding Projection for Contextual Large Language Model Inference
by: Enoasmo, Vincent, et al.
Published: (2025)

Contextually Structured Token Dependency Encoding for Large Language Models
by: Blades, James, et al.
Published: (2025)

Probabilistic Subspace Manifolds for Contextual Inference in Large Language Models
by: Nightingale, Christopher, et al.
Published: (2025)

Racing Thoughts: Explaining Contextualization Errors in Large Language Models
by: Lepori, Michael A., et al.
Published: (2024)

Semantic and Structural Analysis of Implicit Biases in Large Language Models: An Interpretable Approach
by: Zhang, Renhan, et al.
Published: (2025)

Statistical Coherence Alignment for Large Language Model Representation Learning Through Tensor Field Convergence
by: Gale, Jonathan, et al.
Published: (2025)

Peering into the Mind of Language Models: An Approach for Attribution in Contextual Question Answering
by: Phukan, Anirudh, et al.
Published: (2024)

Semantic Triplet Restoration: A Novel Protocol for Hierarchical Table Understanding in Large Language Models
by: Zhao, Yibin, et al.
Published: (2026)

CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels
by: Wei, Lingxiao, et al.
Published: (2024)

Autonomous Structural Memory Manipulation for Large Language Models Using Hierarchical Embedding Augmentation
by: Yotheringhay, Derek, et al.
Published: (2025)

Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach
by: Yang, Jingyuan, et al.
Published: (2025)

Semantic Self-Distillation for Language Model Uncertainty
by: Phillips, Edward, et al.
Published: (2026)

Multilingual Contextualization of Large Language Models for Document-Level Machine Translation
by: Ramos, Miguel Moura, et al.
Published: (2025)

Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models
by: Miao, Ziqi, et al.
Published: (2025)

Evaluating Contextually Mediated Factual Recall in Multilingual Large Language Models
by: Liu, Yihong, et al.
Published: (2026)