Image de couverture de livre

A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Omidvar, Hamed, Akhlaghi, Vahideh
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence Computation and Language Information Theory
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Learn to Memorize: Optimizing LLM-based Agents with Adaptive Memory Framework
par: Zhang, Zeyu, et autres
Publié: (2025)

An Information Theoretic Perspective on Agentic System Design
par: He, Shizhe, et autres
Publié: (2025)

A Training-free Method for LLM Text Attribution
par: Radvand, Tara, et autres
Publié: (2025)

Learning is Forgetting: LLM Training As Lossy Compression
par: Conklin, Henry C., et autres
Publié: (2026)

AD-Bench: A Real-World, Trajectory-Aware Advertising Analytics Benchmark for LLM Agents
par: Hu, Lingxiang, et autres
Publié: (2026)

Semantic Faithfulness and Entropy Production Measures to Tame Your LLM Demons and Manage Hallucinations
par: Halperin, Igor
Publié: (2025)

A Survey on Large Language Models from Concept to Implementation
par: Wang, Chen, et autres
Publié: (2024)

Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
par: Wei, Lai, et autres
Publié: (2024)

Skip-It? Theoretical Conditions for Layer Skipping in Vision-Language Models
par: Hartman, Max, et autres
Publié: (2025)

Human-Inspired Memory Architecture for LLM Agents
par: Kerestecioglu, Doga, et autres
Publié: (2026)

LLM-Based Multi-Agent Blackboard System for Information Discovery in Data Science
par: Salemi, Alireza, et autres
Publié: (2025)

CURE:Circuit-Aware Unlearning for LLM-based Recommendation
par: Chen, Ziheng, et autres
Publié: (2026)

The Agent Capability Problem: Predicting Solvability Through Information-Theoretic Bounds
par: Lutati, Shahar
Publié: (2025)

AcuRank: Uncertainty-Aware Adaptive Computation for Listwise Reranking
par: Yoon, Soyoung, et autres
Publié: (2025)

Forgetting-MarI: LLM Unlearning via Marginal Information Regularization
par: Xu, Shizhou, et autres
Publié: (2025)

Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain
par: Liu, Wei, et autres
Publié: (2026)

Analyzing and Improving Chain-of-Thought Monitorability Through Information Theory
par: Anwar, Usman, et autres
Publié: (2026)

The Stepwise Informativeness Assumption: Why are Entropy Dynamics and Reasoning Correlated in LLMs?
par: Català, Mar Gonzàlez I, et autres
Publié: (2026)

The Detection-Extraction Gap: Models Know the Answer Before They Can Say It
par: Wang, Hanyang, et autres
Publié: (2026)

Know Your Limits: Entropy Estimation Modeling for Compression and Generalization
par: Badger, Benjamin L., et autres
Publié: (2025)

Optimal Quantization for Matrix Multiplication
par: Ordentlich, Or, et autres
Publié: (2024)

Language Modeling Is Compression
par: Delétang, Grégoire, et autres
Publié: (2023)

Memorization-Compression Cycles Improve Generalization
par: Yu, Fangyuan
Publié: (2025)

Compression Represents Intelligence Linearly
par: Huang, Yuzhen, et autres
Publié: (2024)

Measuring Uncertainty in Transformer Circuits with Effective Information Consistency
par: Krasnovsky, Anatoly A.
Publié: (2025)

SPEX: Scaling Feature Interaction Explanations for LLMs
par: Kang, Justin Singh, et autres
Publié: (2025)

Subjective Depth and Timescale Transformers: Learning Where and When to Compute
par: Wieser, Frederico, et autres
Publié: (2025)

SQuat: Subspace-orthogonal KV Cache Quantization
par: Wang, Hao, et autres
Publié: (2025)

The Information of Large Language Model Geometry
par: Tan, Zhiquan, et autres
Publié: (2024)

Geometric Signatures of Compositionality Across a Language Model's Lifetime
par: Lee, Jin Hwa, et autres
Publié: (2024)

OD-Stega: LLM-Based Relatively Secure Steganography via Optimized Distributions
par: Huang, Yu-Shin, et autres
Publié: (2024)

Sequential LLM Framework for Fashion Recommendation
par: Liu, Han, et autres
Publié: (2024)

AriadneMem: Threading the Maze of Lifelong Memory for LLM Agents
par: Zhu, Wenhui, et autres
Publié: (2026)

Aligning LLM Agents by Learning Latent Preference from User Edits
par: Gao, Ge, et autres
Publié: (2024)

SkillGraph: Graph Foundation Priors for LLM Agent Tool Sequence Recommendation
par: Liu, Hao, et autres
Publié: (2026)

An Effective Information Theoretic Framework for Channel Pruning
par: Chen, Yihao, et autres
Publié: (2024)

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search
par: Wu, Kaixin, et autres
Publié: (2024)

A General Error-Theoretical Analysis Framework for Constructing Compression Strategies
par: Zhang, Boyang, et autres
Publié: (2025)

Cost-aware LLM-based Online Dataset Annotation
par: Elumar, Eray Can, et autres
Publié: (2025)

Visual Language Model based Cross-modal Semantic Communication Systems
par: Jiang, Feibo, et autres
Publié: (2024)