Guardado en:
| Autores principales: | Xu, Tianyang, Zhang, Dan, Mitra, Kushan, Hruschka, Estevam |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2510.17109 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
FactLens: Benchmarking Fine-Grained Fact Verification
por: Mitra, Kushan, et al.
Publicado: (2024)
por: Mitra, Kushan, et al.
Publicado: (2024)
AIPOM: Agent-aware Interactive Planning for Multi-Agent Systems
por: Kim, Hannah, et al.
Publicado: (2025)
por: Kim, Hannah, et al.
Publicado: (2025)
RECAP: REwriting Conversations for Intent Understanding in Agentic Planning
por: Mitra, Kushan, et al.
Publicado: (2025)
por: Mitra, Kushan, et al.
Publicado: (2025)
PAACE: A Plan-Aware Automated Agent Context Engineering Framework
por: Yuksel, Kamer Ali
Publicado: (2025)
por: Yuksel, Kamer Ali
Publicado: (2025)
MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems
por: Wang, Zhexuan, et al.
Publicado: (2026)
por: Wang, Zhexuan, et al.
Publicado: (2026)
How to Steer Your Multi-Agent System: Human-LLM Collaborative Planning
por: He, Zeyu, et al.
Publicado: (2026)
por: He, Zeyu, et al.
Publicado: (2026)
MLZero: A Multi-Agent System for End-to-end Machine Learning Automation
por: Fang, Haoyang, et al.
Publicado: (2025)
por: Fang, Haoyang, et al.
Publicado: (2025)
SPIO: Ensemble and Selective Strategies via LLM-Based Multi-Agent Planning in Automated Data Science
por: Seo, Wonduk, et al.
Publicado: (2025)
por: Seo, Wonduk, et al.
Publicado: (2025)
$\textit{Agents Under Siege}$: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks
por: Khan, Rana Muhammad Shahroz, et al.
Publicado: (2025)
por: Khan, Rana Muhammad Shahroz, et al.
Publicado: (2025)
An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring
por: Ebrahimi, Sana, et al.
Publicado: (2025)
por: Ebrahimi, Sana, et al.
Publicado: (2025)
Can Agents Judge Systematic Reviews Like Humans? Evaluating SLRs with LLM-based Multi-Agent System
por: Mushtaq, Abdullah, et al.
Publicado: (2025)
por: Mushtaq, Abdullah, et al.
Publicado: (2025)
In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
por: Li, Zhuofeng, et al.
Publicado: (2025)
por: Li, Zhuofeng, et al.
Publicado: (2025)
HealthFlow: A Self-Evolving AI Agent with Meta Planning for Autonomous Healthcare Research
por: Zhu, Yinghao, et al.
Publicado: (2025)
por: Zhu, Yinghao, et al.
Publicado: (2025)
MARCO: Multi-Agent Real-time Chat Orchestration
por: Shrimal, Anubhav, et al.
Publicado: (2024)
por: Shrimal, Anubhav, et al.
Publicado: (2024)
Multi-Agent Design: Optimizing Agents with Better Prompts and Topologies
por: Zhou, Han, et al.
Publicado: (2025)
por: Zhou, Han, et al.
Publicado: (2025)
MedAgentBoard: Benchmarking Multi-Agent Collaboration with Conventional Methods for Diverse Medical Tasks
por: Zhu, Yinghao, et al.
Publicado: (2025)
por: Zhu, Yinghao, et al.
Publicado: (2025)
MAC: Multi-Agent Constitution Learning
por: Thareja, Rushil, et al.
Publicado: (2026)
por: Thareja, Rushil, et al.
Publicado: (2026)
Towards Reliable ML Feature Engineering via Planning in Constrained-Topology of LLM Agents
por: Thakur, Himanshu, et al.
Publicado: (2026)
por: Thakur, Himanshu, et al.
Publicado: (2026)
Symphony: A Decentralized Multi-Agent Framework for Scalable Collective Intelligence
por: Wang, Ji, et al.
Publicado: (2025)
por: Wang, Ji, et al.
Publicado: (2025)
AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
por: Trirat, Patara, et al.
Publicado: (2024)
por: Trirat, Patara, et al.
Publicado: (2024)
ReMA: Learning to Meta-think for LLMs with Multi-Agent Reinforcement Learning
por: Wan, Ziyu, et al.
Publicado: (2025)
por: Wan, Ziyu, et al.
Publicado: (2025)
Toward Super Agent System with Hybrid AI Routers
por: Yao, Yuhang, et al.
Publicado: (2025)
por: Yao, Yuhang, et al.
Publicado: (2025)
AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback
por: Park, Joshua, et al.
Publicado: (2025)
por: Park, Joshua, et al.
Publicado: (2025)
Training Language Models for Social Deduction with Multi-Agent Reinforcement Learning
por: Sarkar, Bidipta, et al.
Publicado: (2025)
por: Sarkar, Bidipta, et al.
Publicado: (2025)
Unleashing Diverse Thinking Modes in LLMs through Multi-Agent Collaboration
por: He, Zhixuan, et al.
Publicado: (2025)
por: He, Zhixuan, et al.
Publicado: (2025)
TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems
por: Wang, Kai, et al.
Publicado: (2026)
por: Wang, Kai, et al.
Publicado: (2026)
Multi-Agent Constraint Factorization Reveals Latent Invariant Solution Structure
por: Scofield, Christopher
Publicado: (2026)
por: Scofield, Christopher
Publicado: (2026)
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface
por: Hua, Wenyue, et al.
Publicado: (2024)
por: Hua, Wenyue, et al.
Publicado: (2024)
KnowAgent: Knowledge-Augmented Planning for LLM-Based Agents
por: Zhu, Yuqi, et al.
Publicado: (2024)
por: Zhu, Yuqi, et al.
Publicado: (2024)
MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems
por: Venkataramani, Vishal, et al.
Publicado: (2026)
por: Venkataramani, Vishal, et al.
Publicado: (2026)
TrustAgent: Towards Safe and Trustworthy LLM-based Agents
por: Hua, Wenyue, et al.
Publicado: (2024)
por: Hua, Wenyue, et al.
Publicado: (2024)
PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities
por: Li, Haoming, et al.
Publicado: (2025)
por: Li, Haoming, et al.
Publicado: (2025)
Dive into the Agent Matrix: A Realistic Evaluation of Self-Replication Risk in LLM Agents
por: Zhang, Boxuan, et al.
Publicado: (2025)
por: Zhang, Boxuan, et al.
Publicado: (2025)
Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control
por: Rezazadeh, Alireza, et al.
Publicado: (2025)
por: Rezazadeh, Alireza, et al.
Publicado: (2025)
Pun Intended: Multi-Agent Translation of Wordplay with Contrastive Learning and Phonetic-Semantic Embeddings
por: Taylor, Russell, et al.
Publicado: (2025)
por: Taylor, Russell, et al.
Publicado: (2025)
GAMBIT: A Three-Mode Benchmark for Adversarial Robustness in Multi-Agent LLM Collectives
por: Mercier, Alexandre Le, et al.
Publicado: (2026)
por: Mercier, Alexandre Le, et al.
Publicado: (2026)
Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration
por: Zhang, Yang, et al.
Publicado: (2024)
por: Zhang, Yang, et al.
Publicado: (2024)
Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects
por: Mushtaq, Abdullah, et al.
Publicado: (2025)
por: Mushtaq, Abdullah, et al.
Publicado: (2025)
Multi-Agent VQA: Exploring Multi-Agent Foundation Models in Zero-Shot Visual Question Answering
por: Jiang, Bowen, et al.
Publicado: (2024)
por: Jiang, Bowen, et al.
Publicado: (2024)
LLM Agents Making Agent Tools
por: Wölflein, Georg, et al.
Publicado: (2025)
por: Wölflein, Georg, et al.
Publicado: (2025)
Ejemplares similares
-
FactLens: Benchmarking Fine-Grained Fact Verification
por: Mitra, Kushan, et al.
Publicado: (2024) -
AIPOM: Agent-aware Interactive Planning for Multi-Agent Systems
por: Kim, Hannah, et al.
Publicado: (2025) -
RECAP: REwriting Conversations for Intent Understanding in Agentic Planning
por: Mitra, Kushan, et al.
Publicado: (2025) -
PAACE: A Plan-Aware Automated Agent Context Engineering Framework
por: Yuksel, Kamer Ali
Publicado: (2025) -
MASPO: Joint Prompt Optimization for LLM-based Multi-Agent Systems
por: Wang, Zhexuan, et al.
Publicado: (2026)