Image de couverture de livre

LLM-as-RNN: A Recurrent Language Model for Memory Updates and Sequence Prediction

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lu, Yuxing, Tamo, J. Ben, Zhao, Weichen, Sun, Nan, Zhong, Yishan, Shi, Wenqi, Wang, Jinzhuo, Wang, May D.
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Artificial Intelligence Multiagent Systems
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

ClinEnv: An Interactive Multi-Stage Long Horizon EHR Environment for Agents
par: Lu, Yuxing, et autres
Publié: (2026)

Language-Guided Tuning: Enhancing Numeric Optimization with Textual Feedback
par: Lu, Yuxing, et autres
Publié: (2025)

DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients
par: Lu, Yuxing, et autres
Publié: (2025)

Pancake: Hierarchical Memory System for Multi-Agent LLM Serving
par: Hu, Zhengding, et autres
Publié: (2026)

Sequence Modeling for N-Agent Ad Hoc Teamwork
par: Wang, Caroline, et autres
Publié: (2025)

One Panel Does Not Fit All: Case-Adaptive Multi-Agent Deliberation for Clinical Prediction
par: Lu, Yuxing, et autres
Publié: (2026)

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents
par: Chen, Jiayi, et autres
Publié: (2026)

Symphony-Coord: Adaptive Routing for Multi-Agent LLM Systems
par: Guan, Zhaoyang, et autres
Publié: (2026)

Joint Optimization of Multi-agent Memory System
par: Mao, Wenyu, et autres
Publié: (2026)

Aegis:An Advanced LLM-Based Multi-Agent for Intelligent Functional Safety Engineering
par: Shi, Lu, et autres
Publié: (2024)

AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
par: Luo, Yinyi, et autres
Publié: (2026)

Governed Collaborative Memory as Artificial Selection in LLM-Based Multi-Agent Systems
par: Cuadros, Diego F., et autres
Publié: (2026)

Credit Network Modeling and Analysis via Large Language Models
par: Sun, Enbo, et autres
Publié: (2025)

Self-Organizing Agent Network for LLM-based Workflow Automation
par: Xiong, Yiming, et autres
Publié: (2025)

Why Are We Moral? An LLM-based Agent Simulation Approach to Study Moral Evolution
par: Ziheng, Zhou, et autres
Publié: (2025)

MemCoT: Test-Time Scaling through Memory-Driven Chain-of-Thought
par: Lei, Haodong, et autres
Publié: (2026)

Speaking the Language of Teamwork: LLM-Guided Credit Assignment in Multi-Agent Reinforcement Learning
par: Lin, Muhan, et autres
Publié: (2025)

Memory Poisoning Attack and Defense on Memory Based LLM-Agents
par: Sunil, Balachandra Devarangadi, et autres
Publié: (2026)

Adaptive Memory Admission Control for LLM Agents
par: Zhang, Guilin, et autres
Publié: (2026)

MLC-Agent: Cognitive Model based on Memory-Learning Collaboration in LLM Empowered Agent Simulation Environment
par: Zhang, Ming, et autres
Publié: (2025)

Self-Evolving Multi-Agent Systems via Decentralized Memory
par: Hao, Guangya, et autres
Publié: (2026)

LLM-Foraging: Large Language Models for Decentralized Swarm Robot Foraging
par: Li, Peihan, et autres
Publié: (2026)

Consensus Tracking Control of Multi-agent Systems with A Time-varying Reference State under Binary-valued Communication
par: Wang, Ting, et autres
Publié: (2025)

Tree-based Credit Assignment for Multi-Agent Memory System
par: Mao, Marina, et autres
Publié: (2026)

Transactive Local Energy Markets Enable Community-Level Resource Coordination Using Individual Rewards
par: May, Daniel C., et autres
Publié: (2024)

Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems
par: Wu, Shanglin, et autres
Publié: (2026)

GUIDE: Guided Updates for In-context Decision Evolution in LLM-Driven Spacecraft Operations
par: Carrasco, Alejandro, et autres
Publié: (2026)

Strategic Communication and Language Bias in Multi-Agent LLM Coordination
par: Buscemi, Alessio, et autres
Publié: (2025)

Evolution of Social Norms in LLM Agents using Natural Language
par: Horiguchi, Ilya, et autres
Publié: (2024)

Seeing the Whole Elephant: A Benchmark for Failure Attribution in LLM-based Multi-Agent Systems
par: Chen, Mengzhuo, et autres
Publié: (2026)

EconAI: Dynamic Persona Evolution and Memory-Aware Agents in Evolving Economic Environments
par: Liu, Annie, et autres
Publié: (2026)

MACRO-LLM: LLM-Empowered Multi-Agent Collaborative Reasoning under Spatiotemporal Partial Observability
par: Chen, Handi, et autres
Publié: (2026)

Memory-R2: Fair Credit Assignment for Long-Horizon Memory-Augmented LLM Agents
par: Yan, Sikuan, et autres
Publié: (2026)

CogDrive: Cognition-Driven Multimodal Prediction-Planning Fusion for Safe Autonomy
par: Huang, Heye, et autres
Publié: (2025)

ConvoyLLM: Dynamic Multi-Lane Convoy Control Using LLMs
par: Lu, Liping, et autres
Publié: (2025)

AgenticPrecoding: LLM-Empowered Multi-Agent System for Precoding Optimization
par: Yang, Zijiu, et autres
Publié: (2026)

Evaluating Collective Behaviour of Hundreds of LLM Agents
par: Willis, Richard, et autres
Publié: (2026)

Breaking the Communication-Accuracy Trade-off: A Sparsified Information Diffusion Framework for Multi-Agent Collaborative Perception
par: Zha, Jirong, et autres
Publié: (2026)

CTS-CBS: A New Approach for Multi-Agent Collaborative Task Sequencing and Path Finding
par: Jiang, Junkai, et autres
Publié: (2025)

PyraVid: Hierarchical Multimodal Memory for Long-Horizon Video Reasoning
par: Yan, Sikuan, et autres
Publié: (2026)