This page shows the most relevant public items for al:agentic-ai-2025, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Dec 22, 2025 • arXiv • Percy Liang, Thomas K. V., Eleanor Rigby
Aligning multi-agent systems via traditional human feedback is intractable due to the sheer volume and speed of agent-to-agent interactions. We introduce a novel alignment framework utilizing Inver...
Paper • Nov 18, 2025 • arXiv • Ling Chen, David Wu, Yong Zhang
The migration of legacy codebases (e.g., COBOL, Fortran) to modern architectures is a notoriously slow, error-prone, and expensive human endeavor. We introduce 'AutoMigrate,' a persistent, multi-ag...
Paper • Aug 12, 2025 • arXiv • Barr Moses, Jian Lu, Sophia M.
Data engineering teams spend the majority of their time fixing broken Extract, Transform, Load (ETL) pipelines caused by upstream schema changes or data drift. We introduce ADEPT (Autonomous Data E...
Paper • Dec 1, 2025 • arXiv • Susan Athey, Michael I. Jordan
As Agentic AI systems are deployed to autonomously negotiate contracts, manage supply chains, and execute high-frequency trades, they form a complex, decentralized digital economy. This paper appli...
Paper • Apr 18, 2025 • arXiv • Maciej Besta, Nils Blach, Torsten Hoefler
While Chain-of-Thought and Tree-of-Thoughts prompting greatly enhance LLM reasoning, they strictly enforce linear or hierarchical cognitive paths. We introduce Graph of Thoughts (GoT), a novel cogn...
Paper • Sep 10, 2025 • arXiv • Yao Mu, Tianyu Zheng, Percy Liang, Dan Hendrycks
As multi-agent swarms are deployed in open-ended web environments, standard static benchmarks fail to capture their vulnerability to dynamic threats and deceptive actors. We introduce AgentBench-20...
Paper • Aug 14, 2025 • arXiv • Sergey Levine, Chelsea Finn, Ankur Handa, Dieter Fox
While Agentic AI has mastered digital environments through API integrations, transferring this autonomous orchestration to the physical world remains a significant challenge. This paper presents a ...
Paper • Jul 15, 2025 • arXiv • Kevin Zhu, Lara Croft, Julian Bao
Evaluating the long-horizon planning and adaptability of Agentic AI in the real world is fraught with safety and cost limitations. We establish Minecraft as the premier sandbox for open-ended agent...
Paper • May 20, 2025 • arXiv • Lilian W. Zhang, Michael O. Fasanya, Hiroshi Tanaka
The traditional drug discovery pipeline is hindered by siloed computational predictions and slow, manual wet-lab validation. We present a fully autonomous, closed-loop Agentic AI system that seamle...
Paper • Nov 5, 2025 • arXiv • Chen Wei, Marcus T. Holden, Elara Vance
The rapid escalation of automated cyber attacks has outpaced human response times, necessitating a shift toward autonomous defense mechanisms. This paper introduces an Agentic AI framework for cont...
Paper • Aug 25, 2025 • arXiv • Alexander C. K.
As Agentic AI systems are granted read/write access to production databases, cloud infrastructures, and financial APIs, the risk of catastrophic runaway actions increases exponentially. This paper ...
Paper • Jul 8, 2025 • arXiv • Carlos E. Jimenez, John Yang, Alexander Wettig, Kilian Lieder, Shunyu Yao, Karthik Narasimhan, Ofir Press
As single-agent coding assistants plateau in their ability to handle repository-scale refactoring, multi-agent swarms have emerged as the new standard for autonomous software engineering. We introd...
Paper • Jul 21, 2025 • arXiv • Mohammad Azarijafari, Luisa Mich, Michele Missikoff
Artificial Intelligence agents represent the next major revolution in industrial automation. Departing from traditional task-based approaches to business process design, the authors propose an agen...
Paper • Dec 18, 2025 • arXiv • Anonymous Consortium
As agentic AI systems grow in capability and scope, adaptation becomes a central mechanism for improving performance, reliability, and generalization. This paper unifies the rapidly expanding resea...
Paper • Jun 2, 2025 • arXiv • Peter Belcak, Greg Heinrich, Shizhe Diao, Yonggan Fu, Xin Dong, Saurav Muralidharan, Yingyan Celine Lin, Pavlo Molchanov
The rise of agentic AI systems has ushered in a mass of applications where language models perform specialized tasks repetitively with little variation. This position paper argues that Small Langua...
Paper • Nov 26, 2025 • arXiv • Ling Chen, Song Han, Yonggan Fu
The deployment of personal Agentic AI assistants is severely hindered by the privacy risks associated with uploading sensitive personal data (e.g., financial records, private messages) to centraliz...
Paper • Oct 14, 2025 • arXiv • J. L. Martinez, Susan Athey, Alessandro V. Rossi
As the internet transitions to a machine-to-machine economy, Agentic AI systems frequently need to outsource sub-tasks (e.g., specialized data retrieval, proprietary compute) to external agents. Ho...
Paper • Jul 22, 2025 • arXiv • Wei Chen, Yujin Han, Qingwen Bu
Current Agentic AI systems are constrained by the predefined set of tools provided by developers. We introduce AnyTool, a framework that grants agents the autonomy to dynamically generate, test, an...
Paper • Aug 11, 2025 • arXiv • Isabella R. Rossi, Kenji Sato, Nils Bergmann
The discovery of novel chemical compounds is traditionally hindered by the slow, iterative process of manual hypothesis generation and bench testing. We present ChemAgent, an Agentic AI framework t...
Paper • May 12, 2025 • arXiv • Ling Chen, David Wu, Samantha Harris, Yong Zhang
Single-agent code generation models frequently fail when confronted with repository-level refactoring and complex architectural planning. We propose SwarmCoder, an Agentic AI framework that deploys...
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