Image de couverture de livre

Compressed-Sensing-Guided, Inference-Aware Structured Reduction for Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Kiruluta, Andrew
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Entropic-Time Inference: Self-Organizing Large Language Model Decoding Beyond Attention
par: Kiruluta, Andrew
Publié: (2026)

Spectral Generative Flow Models: A Physics-Inspired Replacement for Vectorized Large Language Models
par: Kiruluta, Andrew
Publié: (2026)

From Attention to Atoms: Spectral Dictionary Learning for Fast, Interpretable Language Models
par: Kiruluta, Andrew
Publié: (2025)

State Fourier Diffusion Language Model (SFDLM): A Scalable, Novel Iterative Approach to Language Modeling
par: Kiruluta, Andrew, et autres
Publié: (2025)

From Gradients to Riccati Geometry: Kalman World Models for Single-Pass Learning
par: Kiruluta, Andrew
Publié: (2026)

Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery
par: Kiruluta, Andrew
Publié: (2026)

Adaptive Two Sided Laplace Transforms: A Learnable, Interpretable, and Scalable Replacement for Self-Attention
par: Kiruluta, Andrew
Publié: (2025)

A Novel Architecture for Symbolic Reasoning with Decision Trees and LLM Agents
par: Kiruluta, Andrew
Publié: (2025)

Filtering Beats Fine Tuning: A Bayesian Kalman View of In Context Learning in LLMs
par: Kiruluta, Andrew
Publié: (2026)

History-Aware Cross-Attention Reinforcement: Self-Supervised Multi Turn and Chain-of-Thought Fine-Tuning with vLLM
par: Kiruluta, Andrew, et autres
Publié: (2025)

Spectral Neuro-Symbolic Reasoning II: Semantic Node Merging, Entailment Filtering, and Knowledge Graph Alignment
par: Kiruluta, Andrew, et autres
Publié: (2025)

Compressed Sensing for Capability Localization in Large Language Models
par: Bair, Anna, et autres
Publié: (2026)

CS-VLM: Compressed Sensing Attention for Efficient Vision-Language Representation Learning
par: Kiruluta, Andrew, et autres
Publié: (2025)

From Eigenmodes to Proofs: Integrating Graph Spectral Operators with Symbolic Interpretable Reasoning
par: Kiruluta, Andrew, et autres
Publié: (2025)

Graph Laplacian Wavelet Transformer via Learnable Spectral Decomposition
par: Kiruluta, Andrew, et autres
Publié: (2025)

Capability-Guided Compression: Toward Interpretability-Aware Budget Allocation for Large Language Models
par: Gupta, Rishaank
Publié: (2026)

Breaking Quadratic Barriers: A Non-Attention LLM for Ultra-Long Context Horizons
par: Kiruluta, Andrew, et autres
Publié: (2025)

Learnable Multi-Scale Wavelet Transformer: A Novel Alternative to Self-Attention
par: Kiruluta, Andrew, et autres
Publié: (2025)

FourierNAT: A Fourier-Mixing-Based Non-Autoregressive Transformer for Parallel Sequence Generation
par: Kiruluta, Andrew, et autres
Publié: (2025)

Beyond Self Attention: A Subquadratic Fourier Wavelet Transformer with Multi Modal Fusion
par: Kiruluta, Andrew, et autres
Publié: (2021)

Dynamic Compressing Prompts for Efficient Inference of Large Language Models
par: Hu, Jinwu, et autres
Publié: (2025)

Enhancing and Accelerating Large Language Models via Instruction-Aware Contextual Compression
par: Hou, Haowen, et autres
Publié: (2024)

Structural Embedding Projection for Contextual Large Language Model Inference
par: Enoasmo, Vincent, et autres
Publié: (2025)

Inference-Cost-Aware Dynamic Tree Construction for Efficient Inference in Large Language Models
par: Hong, Yinrong, et autres
Publié: (2025)

Model Compression and Efficient Inference for Large Language Models: A Survey
par: Wang, Wenxiao, et autres
Publié: (2024)

Compression Laws for Large Language Models
par: Sengupta, Ayan, et autres
Publié: (2025)

Steering Vector Fields for Context-Aware Inference-Time Control in Large Language Models
par: Li, Jiaqian, et autres
Publié: (2026)

Equipping Retrieval-Augmented Large Language Models with Document Structure Awareness
par: Xu, Lingnan, et autres
Publié: (2025)

OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Models
par: Lee, Changhun, et autres
Publié: (2023)

TRIM: Token Reduction and Inference Modeling for Cost-Effective Language Generation
par: Ruiz, Alfredo Garrachón, et autres
Publié: (2024)

Spectral Dictionary Learning for Generative Image Modeling
par: Kiruluta, Andrew
Publié: (2025)

Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models
par: Mahmud, Saaduddin, et autres
Publié: (2025)

Feasibility of Structuring Stress Documentation Using an Ontology-Guided Large Language Model
par: Kim, Hyeoneui, et autres
Publié: (2025)

SoT: Structured-of-Thought Prompting Guides Multilingual Reasoning in Large Language Models
par: Qi, Rui, et autres
Publié: (2025)

Structure Guided Large Language Model for SQL Generation
par: Zhang, Qinggang, et autres
Publié: (2024)

Lost in Inference: Rediscovering the Role of Natural Language Inference for Large Language Models
par: Madaan, Lovish, et autres
Publié: (2024)

Position-Aware Depth Decay Decoding ($D^3$): Boosting Large Language Model Inference Efficiency
par: Fan, Siqi, et autres
Publié: (2025)

SPQ: An Ensemble Technique for Large Language Model Compression
par: Yao, Jiamin, et autres
Publié: (2026)

Prompt Compression for Large Language Models: A Survey
par: Li, Zongqian, et autres
Publié: (2024)

Optimizing Singular Spectrum for Large Language Model Compression
par: Li, Dengjie, et autres
Publié: (2025)