:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Song, Weijia, Yue, Jiashu, Pang, Zhe
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	https://arxiv.org/abs/2603.22791
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AIR: Complex Instruction Generation via Automatic Iterative Refinement
by: Liu, Wei, et al.
Published: (2025)

Visual Prompting with Iterative Refinement for Design Critique Generation
by: Duan, Peitong, et al.
Published: (2024)

Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
by: Zhou, Han, et al.
Published: (2025)

PPCR-IM: A System for Multi-layer DAG-based Public Policy Consequence Reasoning and Social Indicator Mapping
by: Song, Zichen, et al.
Published: (2026)

MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction
by: Qasim, Kaleem Ullah, et al.
Published: (2025)

Beyond Monolithic Architectures: A Multi-Agent Search and Knowledge Optimization Framework for Agentic Search
by: Chen, Yiqun, et al.
Published: (2026)

AgentBalance: Backbone-then-Topology Design for Cost-Effective Multi-Agent Systems under Budget Constraints
by: Cai, Shuowei, et al.
Published: (2025)

Plug-and-Play Dramaturge: A Divide-and-Conquer Approach for Iterative Narrative Script Refinement via Collaborative LLM Agents
by: Xie, Wenda, et al.
Published: (2025)

Iterative Experience Refinement of Software-Developing Agents
by: Qian, Chen, et al.
Published: (2024)

Explainable Iterative Data Visualisation Refinement via an LLM Agent
by: Susam, Burak, et al.
Published: (2026)

EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms
by: Yuan, Siyu, et al.
Published: (2024)

Knowledge-Aware Iterative Retrieval for Multi-Agent Systems
by: Song, Seyoung
Published: (2025)

Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs
by: Fang, Wenzhi, et al.
Published: (2026)

RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models
by: Yang, Yang, et al.
Published: (2025)

Iterative Reasoning Preference Optimization
by: Pang, Richard Yuanzhe, et al.
Published: (2024)

TO-Agents: A Multi-Agent AI Pipeline for Preference-Guided Topology Optimization
by: Stewart, Isabella A., et al.
Published: (2026)

SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement
by: Antoniades, Antonis, et al.
Published: (2024)

MetaAgent: Automatically Constructing Multi-Agent Systems Based on Finite State Machines
by: Zhang, Yaolun, et al.
Published: (2025)

A Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops
by: Yuksel, Kamer Ali, et al.
Published: (2024)

Joint Optimization of Prompt Security and System Performance in Edge-Cloud LLM Systems
by: Huang, Haiyang, et al.
Published: (2025)

Neural Global Optimization via Iterative Refinement from Noisy Samples
by: Muzaffar, Qusay, et al.
Published: (2026)

FLAIRR-TS -- Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series
by: Jalori, Gunjan, et al.
Published: (2025)

Adaptive Multi-Agent Response Refinement in Conversational Systems
by: Jeong, Soyeong, et al.
Published: (2025)

Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement
by: Xiong, Weimin, et al.
Published: (2024)

Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO
by: Hong, Haoyang, et al.
Published: (2025)

Designing an efficient and equitable humanitarian supply chain dynamically via reinforcement learning
by: Jin, Weijia
Published: (2025)

Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive Deployment
by: Wang, Xubin, et al.
Published: (2025)

MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQL
by: Xie, Wenxuan, et al.
Published: (2024)

Understanding the Information Propagation Effects of Communication Topologies in LLM-based Multi-Agent Systems
by: Shen, Xu, et al.
Published: (2025)

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation
by: Zhou, Changzhi, et al.
Published: (2025)

TransportAgents: a multi-agents LLM framework for traffic accident severity prediction
by: Yang, Zhichao, et al.
Published: (2026)

DesignLab: Designing Slides Through Iterative Detection and Correction
by: Yun, Jooyeol, et al.
Published: (2025)

Greedy Is a Strong Default: Agents as Iterative Optimizers
by: Li, Yitao
Published: (2026)

Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning
by: Yang, Wei, et al.
Published: (2026)

MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning
by: Zhang, Yaolun, et al.
Published: (2026)

Chain-of-Specificity: An Iteratively Refining Method for Eliciting Knowledge from Large Language Models
by: Wei, Kaiwen, et al.
Published: (2024)

Spontaneous Reward Hacking in Iterative Self-Refinement
by: Pan, Jane, et al.
Published: (2024)

Iterative Translation Refinement with Large Language Models
by: Chen, Pinzhen, et al.
Published: (2023)

CIA: Inferring the Communication Topology from LLM-based Multi-Agent Systems
by: Wu, Yongxuan, et al.
Published: (2026)

PROTEA: Offline Evaluation and Iterative Refinement for Multi-Agent LLM Workflows
by: Kawamura, Kazuki, et al.
Published: (2026)