PromptSculptor: Multi-Agent Based Text-to-Image Prompt Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Xiang, Dawei, Xu, Wenyan, Chu, Kexin, Ding, Tianqi, Shen, Zixu, Zeng, Yiming, Su, Jianchang, Zhang, Wei |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Helix: A Dual-Helix Co-Evolutionary Multi-Agent System for Prompt Optimization and Question Reformulation
by: Zhu, Kewen, et al.
Published: (2026)
by: Zhu, Kewen, et al.
Published: (2026)
Unifying Temporal and Structural Credit Assignment in LLM-Based Multi-Agent Prompt Optimization
by: Li, Wenwu, et al.
Published: (2026)
by: Li, Wenwu, et al.
Published: (2026)
HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems
by: Xia, Yihan, et al.
Published: (2025)
by: Xia, Yihan, et al.
Published: (2025)
Hierarchical LLM-Based Multi-Agent Framework with Prompt Optimization for Multi-Robot Task Planning
by: Kawabe, Tomoya, et al.
Published: (2026)
by: Kawabe, Tomoya, et al.
Published: (2026)
SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation
by: Yang, Chengyi, et al.
Published: (2026)
by: Yang, Chengyi, et al.
Published: (2026)
Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
by: Zhou, Han, et al.
Published: (2025)
by: Zhou, Han, et al.
Published: (2025)
Conjunctive Prompt Attacks in Multi-Agent LLM Systems
by: Arif, Nokimul Hasan, et al.
Published: (2026)
by: Arif, Nokimul Hasan, et al.
Published: (2026)
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems
by: Lee, Donghyun, et al.
Published: (2024)
by: Lee, Donghyun, et al.
Published: (2024)
Influencing LLM Multi-Agent Dialogue via Policy-Parameterized Prompts
by: Bo, Hongbo, et al.
Published: (2026)
by: Bo, Hongbo, et al.
Published: (2026)
Exposing Weak Links in Multi-Agent Systems under Adversarial Prompting
by: Arora, Nirmit, et al.
Published: (2025)
by: Arora, Nirmit, et al.
Published: (2025)
MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems
by: Wang, Zhexuan, et al.
Published: (2026)
by: Wang, Zhexuan, et al.
Published: (2026)
Agents that Matter: Optimizing Multi-Agent LLMs via Removal-Based Attribution
by: Lu, Mingyu, et al.
Published: (2026)
by: Lu, Mingyu, et al.
Published: (2026)
Thought Virus: Viral Misalignment via Subliminal Prompting in Multi-Agent Systems
by: Weckbecker, Moritz, et al.
Published: (2026)
by: Weckbecker, Moritz, et al.
Published: (2026)
Very Large-Scale Multi-Agent Simulation in AgentScope
by: Pan, Xuchen, et al.
Published: (2024)
by: Pan, Xuchen, et al.
Published: (2024)
$\textit{Agents Under Siege}$: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks
by: Khan, Rana Muhammad Shahroz, et al.
Published: (2025)
by: Khan, Rana Muhammad Shahroz, et al.
Published: (2025)
Behind the Prompt: The Agent-User Problem in Information Retrieval
by: Zerhoudi, Saber, et al.
Published: (2026)
by: Zerhoudi, Saber, et al.
Published: (2026)
Reasoning-Aware Prompt Orchestration: A Foundation Model for Multi-Agent Language Model Coordination
by: Dhrif, Hassen
Published: (2025)
by: Dhrif, Hassen
Published: (2025)
MA-SAPO: Multi-Agent Reasoning for Score-Aware Prompt Optimization
by: Seo, Wonduk, et al.
Published: (2025)
by: Seo, Wonduk, et al.
Published: (2025)
Chameleon: Adaptive Adversarial Agents for Scaling-Based Visual Prompt Injection in Multimodal AI Systems
by: Zeeshan, M, et al.
Published: (2025)
by: Zeeshan, M, et al.
Published: (2025)
KIMAs: A Configurable Knowledge Integrated Multi-Agent System
by: Li, Zitao, et al.
Published: (2025)
by: Li, Zitao, et al.
Published: (2025)
Prompt Injection Detection and Mitigation via AI Multi-Agent NLP Frameworks
by: Gosmar, Diego, et al.
Published: (2025)
by: Gosmar, Diego, et al.
Published: (2025)
Prompt Stability Matters: Evaluating and Optimizing Auto-Generated Prompt in General-Purpose Systems
by: Chen, Ke, et al.
Published: (2025)
by: Chen, Ke, et al.
Published: (2025)
Multi-Agent Reinforcement Learning for Multi-Cell Spectrum and Power Allocation
by: Zhang, Yiming, et al.
Published: (2023)
by: Zhang, Yiming, et al.
Published: (2023)
Analyze-Prompt-Reason: A Collaborative Agent-Based Framework for Multi-Image Vision-Language Reasoning
by: Vlachos, Angelos, et al.
Published: (2025)
by: Vlachos, Angelos, et al.
Published: (2025)
Octopus Protocol: One-Shot Hardware Discovery and Control for AI Agents via Infrastructure-as-Prompts
by: Simeon, Quilee, et al.
Published: (2026)
by: Simeon, Quilee, et al.
Published: (2026)
Causal-Inspired Multi-Agent Decision-Making via Graph Reinforcement Learning
by: Wang, Jing, et al.
Published: (2025)
by: Wang, Jing, et al.
Published: (2025)
Self-Refining Topology Optimization via an LLM-Based Multi-Agent Framework
by: Park, Hyunjee, et al.
Published: (2026)
by: Park, Hyunjee, et al.
Published: (2026)
Multi-Agent Coordination via Multi-Level Communication
by: Ding, Ziluo, et al.
Published: (2022)
by: Ding, Ziluo, et al.
Published: (2022)
Reflection in the Dark: Exposing and Escaping the Black Box in Reflective Prompt Optimization
by: Liu, Shiyan, et al.
Published: (2026)
by: Liu, Shiyan, et al.
Published: (2026)
Swarm Intelligence Enhanced Reasoning: A Density-Driven Framework for LLM-Based Multi-Agent Optimization
by: Zhu, Ying, et al.
Published: (2025)
by: Zhu, Ying, et al.
Published: (2025)
Macro-Action Based Multi-Agent Instruction Following through Value Cancellation
by: Lin, Wo Wei, et al.
Published: (2026)
by: Lin, Wo Wei, et al.
Published: (2026)
AI Agent Systems for Supply Chains: Structured Decision Prompts and Memory Retrieval
by: Yoshizato, Konosuke, et al.
Published: (2026)
by: Yoshizato, Konosuke, et al.
Published: (2026)
AgentWebBench: Benchmarking Multi-Agent Coordination in Agentic Web
by: Zhong, Shanshan, et al.
Published: (2026)
by: Zhong, Shanshan, et al.
Published: (2026)
ADL: A Declarative Language for Agent-Based Chatbots
by: Zeng, Sirui, et al.
Published: (2025)
by: Zeng, Sirui, et al.
Published: (2025)
Generalized Per-Agent Advantage Estimation for Multi-Agent Policy Optimization
by: Kim, Seongmin, et al.
Published: (2026)
by: Kim, Seongmin, et al.
Published: (2026)
MALBO: Optimizing LLM-Based Multi-Agent Teams via Multi-Objective Bayesian Optimization
by: Sabbatella, Antonio
Published: (2025)
by: Sabbatella, Antonio
Published: (2025)
Context Engineering: From Prompts to Corporate Multi-Agent Architecture
by: Vishnyakova, Vera V.
Published: (2026)
by: Vishnyakova, Vera V.
Published: (2026)
Prompt Flow Integrity to Prevent Privilege Escalation in LLM Agents
by: Kim, Juhee, et al.
Published: (2025)
by: Kim, Juhee, et al.
Published: (2025)
When Does Multi-Agent Collaboration Help? An Entropy Perspective
by: Zhao, Yuxuan, et al.
Published: (2026)
by: Zhao, Yuxuan, et al.
Published: (2026)
Cooperative Hybrid Multi-Agent Pathfinding Based on Shared Exploration Maps
by: Liu, Ning, et al.
Published: (2025)
by: Liu, Ning, et al.
Published: (2025)
Similar Items
-
Helix: A Dual-Helix Co-Evolutionary Multi-Agent System for Prompt Optimization and Question Reformulation
by: Zhu, Kewen, et al.
Published: (2026) -
Unifying Temporal and Structural Credit Assignment in LLM-Based Multi-Agent Prompt Optimization
by: Li, Wenwu, et al.
Published: (2026) -
HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems
by: Xia, Yihan, et al.
Published: (2025) -
Hierarchical LLM-Based Multi-Agent Framework with Prompt Optimization for Multi-Robot Task Planning
by: Kawabe, Tomoya, et al.
Published: (2026) -
SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation
by: Yang, Chengyi, et al.
Published: (2026)