Interacting Large Language Model Agents. Interpretable Models and Social Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jain, Adit, Krishnamurthy, Vikram
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Emerging Technologies Multiagent Systems Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LLM experiments with simulation: Large Language Model Multi-Agent System for Simulation Model Parametrization in Digital Twins
by: Xia, Yuchen, et al.
Published: (2024)

Engineering Risk-Aware, Security-by-Design Frameworks for Assurance of Large-Scale Autonomous AI Models
by: Tallam, Krti
Published: (2025)

Incorporating Large Language Models into Production Systems for Enhanced Task Automation and Flexibility
by: Xia, Yuchen, et al.
Published: (2024)

Demystifying AI Agents: The Final Generation of Intelligence
by: McNamara, Kevin J, et al.
Published: (2025)

Collaborative QA using Interacting LLMs. Impact of Network Structure, Node Capability and Distributed Data
by: Jain, Adit, et al.
Published: (2025)

LCGuard: Latent Communication Guard for Safe KV Sharing in Multi-Agent Systems
by: Asif, Sadia, et al.
Published: (2026)

Fusion Intelligence: Confluence of Natural and Artificial Intelligence for Enhanced Problem-Solving Efficiency
by: Kalavakonda, Rohan Reddy, et al.
Published: (2024)

BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order Dispatch
by: Hu, Yulong, et al.
Published: (2025)

Multi-agent Systems for Misinformation Lifecycle : Detection, Correction And Source Identification
by: Gautam, Aditya
Published: (2025)

Synergistic Simulations: Multi-Agent Problem Solving with Large Language Models
by: Sprigler, Asher, et al.
Published: (2024)

Multi-Agent Risks from Advanced AI
by: Hammond, Lewis, et al.
Published: (2025)

One Step is Enough: Multi-Agent Reinforcement Learning based on One-Step Policy Optimization for Order Dispatch on Ride-Sharing Platforms
by: Zhao, Zijian, et al.
Published: (2025)

The Algorithmic State Architecture (ASA): An Integrated Framework for AI-Enabled Government
by: Engin, Zeynep, et al.
Published: (2025)

Quantum Computing and Neuromorphic Computing for Safe, Reliable, and explainable Multi-Agent Reinforcement Learning: Optimal Control in Autonomous Robotics
by: Taghavi, Mazyar, et al.
Published: (2024)

Adaptive Traffic-Following Scheme for Orderly Distributed Control of Multi-Vehicle Systems
by: Jain, Anahita, et al.
Published: (2025)

ClinEnv: An Interactive Multi-Stage Long Horizon EHR Environment for Agents
by: Lu, Yuxing, et al.
Published: (2026)

A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AI
by: Amalfitano, Domenico, et al.
Published: (2025)

Integration of TinyML and LargeML: A Survey of 6G and Beyond
by: Vu, Thai-Hoc, et al.
Published: (2025)

MI9: An Integrated Runtime Governance Framework for Agentic AI
by: Wang, Charles L., et al.
Published: (2025)

Autonomous Traffic Signal Optimization Using Digital Twin and Agentic AI for Real-Time Decision-Making
by: Jan, Salman, et al.
Published: (2026)

Towards a HIPAA Compliant Agentic AI System in Healthcare
by: Neupane, Subash, et al.
Published: (2025)

TruthTensor: Evaluating LLMs through Human Imitation on Prediction Market under Drift and Holistic Reasoning
by: Shahabi, Shirin, et al.
Published: (2026)

From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents
by: Padhi, Trilok, et al.
Published: (2026)

A Solvable Molecular Switch Model for Stable Temporal Information Processing
by: Nurdin, H. I., et al.
Published: (2025)

KGLAMP: Knowledge Graph-guided Language model for Adaptive Multi-robot Planning and Replanning
by: Shek, Chak Lam, et al.
Published: (2026)

Scale-Plan: Scalable Language-Enabled Task Planning for Heterogeneous Multi-Robot Teams
by: Gupta, Piyush, et al.
Published: (2026)

Deep Learning for Model-Free Prediction of Thermal States of Robot Joint Motors
by: La, Trung Kien, et al.
Published: (2025)

On the Ethical Considerations of Generative Agents
by: Diamond, N'yoma, et al.
Published: (2024)

Visual Reasoning and Multi-Agent Approach in Multimodal Large Language Models (MLLMs): Solving TSP and mTSP Combinatorial Challenges
by: Elhenawy, Mohammed, et al.
Published: (2024)

A transformer-based deep q learning approach for dynamic load balancing in software-defined networks
by: Owusu, Evans Tetteh, et al.
Published: (2025)

AI-driven Orchestration at Scale: Estimating Service Metrics on National-Wide Testbeds
by: Moreira, Rodrigo, et al.
Published: (2025)

eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels
by: DeRieux, Alexander, et al.
Published: (2024)

Training-Free Agentic AI: Probabilistic Control and Coordination in Multi-Agent LLM Systems
by: Hosseini, Mohammad Parsa, et al.
Published: (2026)

Urban Air Mobility as a System of Systems: An LLM-Enhanced Holonic Approach
by: Sadik, Ahmed R., et al.
Published: (2025)

SentinelAI: A Multi-Agent Framework for Structuring and Linking NG9-1-1 Emergency Incident Data
by: Ho, Kliment, et al.
Published: (2026)

BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios
by: Yu, Liyang, et al.
Published: (2025)

A Gossip-Enhanced Communication Substrate for Agentic AI: Toward Decentralized Coordination in Large-Scale Multi-Agent Systems
by: Khan, Nafiul I., et al.
Published: (2025)

S2Act: Simple Spiking Actor
by: Akcal, Ugur, et al.
Published: (2026)

RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models
by: Khaliq, M. Abdul, et al.
Published: (2024)

Content Caching-Assisted Vehicular Edge Computing Using Multi-Agent Graph Attention Reinforcement Learning
by: Shen, Jinjin, et al.
Published: (2024)