Cover Image

Inefficiencies of Meta Agents for Agent Design

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	El, Batu, Yuksekgonul, Mert, Zou, James
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Moloch's Bargain: Emergent Misalignment When LLMs Compete for Audiences
by: El, Batu, et al.
Published: (2025)

Cost-of-Pass: An Economic Framework for Evaluating Language Models
by: Erol, Mehmet Hamza, et al.
Published: (2025)

TextGrad: Automatic "Differentiation" via Text
by: Yuksekgonul, Mert, et al.
Published: (2024)

Learning to Discover at Test Time
by: Yuksekgonul, Mert, et al.
Published: (2026)

Towards Mechanistic Interpretability of Graph Transformers via Attention Graphs
by: El, Batu, et al.
Published: (2025)

SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning
by: Zhao, Wanjia, et al.
Published: (2025)

Can LLM feedback enhance review quality? A randomized study of 20K reviews at ICLR 2025
by: Thakkar, Nitya, et al.
Published: (2025)

Meta-RL Induces Exploration in Language Agents
by: Jiang, Yulun, et al.
Published: (2025)

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
by: Yuksekgonul, Mert, et al.
Published: (2023)

Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents
by: Miao, Jiacheng, et al.
Published: (2025)

SMART: Self-learning Meta-strategy Agent for Reasoning Tasks
by: Liu, Rongxing, et al.
Published: (2024)

Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent
by: Hoppmann, Björn, et al.
Published: (2026)

RF-Agent: Automated Reward Function Design via Language Agent Tree Search
by: Gao, Ning, et al.
Published: (2026)

Memento-Skills: Let Agents Design Agents
by: Zhou, Huichi, et al.
Published: (2026)

Real-time Monitoring of Lower Limb Movement Resistance Based on Deep Learning
by: Batu, Buren, et al.
Published: (2024)

Quantum Agents for Algorithmic Discovery
by: Kerenidis, Iordanis, et al.
Published: (2025)

Recursive Multi-Agent Systems
by: Yang, Xiyuan, et al.
Published: (2026)

Curious Causality-Seeking Agents Learn Meta Causal World
by: Zhao, Zhiyu, et al.
Published: (2025)

RLVMR: Reinforcement Learning with Verifiable Meta-Reasoning Rewards for Robust Long-Horizon Agents
by: Zhang, Zijing, et al.
Published: (2025)

Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents
by: Zhang, Menglong, et al.
Published: (2024)

MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents
by: Jiang, Yixing, et al.
Published: (2025)

Latent Collaboration in Multi-Agent Systems
by: Zou, Jiaru, et al.
Published: (2025)

MPO: Boosting LLM Agents with Meta Plan Optimization
by: Xiong, Weimin, et al.
Published: (2025)

$Agent^2$: An Agent-Generates-Agent Framework for Reinforcement Learning Automation
by: Wei, Yuan, et al.
Published: (2025)

AKG kernel Agent: A Multi-Agent Framework for Cross-Platform Kernel Synthesis
by: Du, Jinye, et al.
Published: (2025)

Demo: Healthcare Agent Orchestrator (HAO) for Patient Summarization in Molecular Tumor Boards
by: Blondeel, Matthias, et al.
Published: (2025)

Social Cooperation in Conversational AI Agents
by: Çelikok, Mustafa Mert, et al.
Published: (2025)

Multi-Agent Reinforcement Learning for Inverse Design in Photonic Integrated Circuits
by: Mahlau, Yannik, et al.
Published: (2025)

Goal Recognition Design for General Behavioral Agents using Machine Learning
by: Kasumba, Robert, et al.
Published: (2024)

AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning
by: Zhang, Jianguo, et al.
Published: (2024)

Capacity-Aware Planning and Scheduling in Budget-Constrained Multi-Agent MDPs: A Meta-RL Approach
by: Vora, Manav, et al.
Published: (2024)

Dynamic Evaluation of Large Language Models by Meta Probing Agents
by: Zhu, Kaijie, et al.
Published: (2024)

To Call or Not to Call: Diagnosing Intrinsic Over-Calling Bias in LLM Agents
by: Shi, Wei, et al.
Published: (2026)

Creative Agents: Empowering Agents with Imagination for Creative Tasks
by: Cai, Penglin, et al.
Published: (2023)

Mol-Debate: Multi-Agent Debate Improves Structural Reasoning in Molecular Design
by: Zhang, Wengyu, et al.
Published: (2026)

Beyond the Meta: Leveraging Game Design Parameters for Patch-Agnostic Esport Analytics
by: Chitayat, Alan Pedrassoli, et al.
Published: (2023)

Agent Lightning: Train ANY AI Agents with Reinforcement Learning
by: Luo, Xufang, et al.
Published: (2025)

Prover Agent: An Agent-Based Framework for Formal Mathematical Proofs
by: Baba, Kaito, et al.
Published: (2025)

AgentGA: Evolving Code Solutions in Agent-Seed Space
by: Tan, David Y. Y., et al.
Published: (2026)

Agent-Omit: Adaptive Context Omission for Efficient LLM Agents
by: Ning, Yansong, et al.
Published: (2026)