LLM Agent Planning

LLM: Large Language Model

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22 papers in the last four weeks, up 175% on the four weeks before. 0.2% of all new papers.

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Latest papers 144

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STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework
Aug 10, 2026Hanlin Jiang, Jionghao Huang, Shaofei Li +6Autonomous Cyber Defense LLM Agent Orchestration
Key Laboratory of High Confidence Software Technologies, Peking University, Ministry of Education · Southeast University · Huawei Technologies Co., Ltd.
Discovering Diverse Planning Policies for Multimodal Embodied Agents with Quality-Diversity Optimization
Aug 9, 2026Pengfei Xu, Yong Liu, Xiaoya Nan +2Quality-Diversity Optimization Multimodal Agents
School of Artificial Intelligence, Nanjing University of Information Science and Technology Nanjing, Jiangsu, China
Strategy-first synthesis planning for complex natural products
Aug 7, 2026Daniel Armstrong, Xuan-Vu Nguyen, Octavian Susanu +15LLM Agent Planning
Laboratory of Artificial Chemical Intelligence (LIAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. · Laboratory of Synthesis and Natural Products (LSPN), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. · National Centre of Competence in Research (NCCR) Catalysis, Lausanne, Switzerland. +3
Coupling Planning with Episodic Memory in LLM Agents for Software Issue Resolution
Aug 7, 2026Jiahao Zhang, Yifan Zhang, Yu HuangSoftware Engineering Software Engineering Agents
Vanderbilt University
BAP-SQL: Budget-Aware Observation Planning for Agentic Text-to-SQL
Aug 3, 2026Chong Peng, Pin Qian, Su Wang +2Cost-Aware Inference Text-to-SQL
Microsoft · Carnegie Mellon University · Georgia Institute of Technology
Agentic Incident Response through Digital Twin-Enhanced Multiscale Planning
Aug 3, 2026Yiran Gao, Tao Li, Kim HammarCybersecurity Model-Based Planning
City University of Hong Kong, Hong Kong SAR · Imperial College London, United Kingdom
SyncPlan: Long-Horizon LLM Coordination with Explicit Synchronization and Adaptive Correction
Aug 3, 2026Shen You, Xiaoming Zhu, Weining Weng +17Multi-Agent Coordination LLM Planning
1City University of Hong Kong · 2Tencent · 3Shenzhen University +1
HyperAgent: Planning and Acting over Tool-Schema Hypergraphs for Tool-Use LLM Agents
Jul 31, 2026Zian Zhai, Xingyu Tan, Gaowang Zou +2LLM Tool Use Graph-Based Planning
University of New South Wales
Agentic Planning for Symbolic Execution
Jul 31, 2026Daniel Koh Ji Yang, Yannic Noller, Corina S. Pasareanu +1Symbolic Reasoning Static Code Analysis
Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, United Arab Emirates · Ruhr-Universität Bochum, Bochum, Germany · Carnegie Mellon University, Pittsburgh, PA, USA
NeSyFS: A Neuro-symbolic Fast-Slow Thinking Framework for LLM Agent under Partial Observability
Jul 31, 2026Duo Xu, Faramarz FekriBelief-Space Planning LLM Agents
Georgia Institute of Technology 225 North Ave NW, Atlanta, GA 30332
TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning
Jul 29, 2026Jinhu Qi, Wentao Zhang, Siu Man Ng +4Tool-Use Evaluation LLM Agent Evaluation
The Chinese University of Hong Kong Hong Kong, China · Macao Polytechnic University Macau, China
HiSkill: Empowering LLM Agents with Hierarchical Skill Graphs
Jul 28, 2026Yu Hao, Jinxuan Cai, Qi Zhang +4LLM Agent Skill Learning LLM Agent Skill Retrieval
Beijing University of Posts and Telecommunications · China Mobile Group Shaanxi Co., Ltd · Ant Group
From Cognitive Architectures to Language Agents: A Mechanism-Level Review of Lineage, Convergence, and Migration Gaps
Jul 27, 2026Haodi Fan, Zucong LanCognitive Architectures for AI Agents Computational Cognitive Modeling
Plans Work in Mysterious Ways: Evaluating a Plan Mode for Spreadsheet Agents
Jul 26, 2026Aayush Kumar, Avik Dutta, Sumit Gulwani +3Spreadsheet Automation Human-AI Collaboration
Microsoft *Bengaluru, India · Microsoft †Redmond, WA, USA · Microsoft ‡Cambridge, UK +1
Stress-testing large language model agents in a robotic chemistry laboratory
Jul 25, 2026Lulu Guo, Yingkai Sun, Xiaobo Li +13AI Agent Reliability AI Agents for Scientific Discovery
State Key Laboratory of Precision and Intelligent Chemistry, Hefei National Research Center for Physical Sciences at the Microscale, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei, China · Center for Scientific Intelligence Innovation, Hefei, China · School of Chemistry, School of Computer Science, University of Birmingham, Birmingham, UK
Spatial Reasoning in LLM Game Agents: Impact of Causal Context and Multi-Step Planning
Jul 22, 2026Mohit Jiwatode, Ronja Fuchs, Robin Schmöcker +2Game-Playing Agents LLM Agent Evaluation
Institute for Information Processing · SDU Metaverse Lab
AI Tour Meeting: Group Travel Planning by LLM Agents
Jul 21, 2026Daisuke KikutaMulti-Agent LLM Systems LLM Planning
NTT, Inc.
CORVUS: Context Optimization and Reduction Via Underlying Synchronization for LLM Coding Agents
Jul 20, 2026Mingwei Zheng, David OBrien, Siwei Cui +4LLM Inference Efficiency AI Coding Agents
Department of Computer Science, Purdue University · 2AWS AI Labs
Plover: Steering GUI Agents through Plan-Centric Interaction
Jul 16, 2026Madhumitha Venkatesan, Shicheng Wen, Jiajing Guo +3GUI Agents LLM Agent Planning
University of California, Davis · Davis, California, USA · Bosch Research North America +1
RetroAgent: Harnessing LLMs to Search Over Structured Memory for Agentic Retrosynthesis Planning
Jul 16, 2026Yanqiao Zhu, Jingru Gan, Xiaoqi Sun +8LLM Agent Harnesses LLM Agent Planning
UCLA · MIT · Amazon +1
MEMORA: Embodied Action Memory from Egocentric Videos for Reasoning and Planning
Jul 15, 2026Zihao Yu, Xiu Yuan, Chongjie ZhangEmbodied AI Memory-Augmented Agents
Washington University in St. Louis
Harness Handbook: Making Evolving Agent Harnesses Readable,Navigable, and Editable
Jul 14, 2026Ruhan Wang, Yucheng Shi, Zongxia Li +7Software Engineering Agents LLM Agent Harnesses
Tencent · Indiana University · University of Maryland, College Park +2
A Multi-Agent Framework for Zero-Dimensional Reduced-Order Model Planning
Jul 13, 2026Bingteng Sun, Hao Yin, Yiling Chen +9Combinatorial Optimization Reduced-Order Modeling
Advanced Gas Turbine Laboratory, Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, 100190, China. · National Key Laboratory of Science and Technology on Advanced Light-duty Gas-turbine, Beijing, 100190, China. · School of Computer Science and Technology, Shandong University, 72 Binhai Road, Qingdao, 266237, Shandong Province, China. +3
GATS: Graph-Augmented Tree Search with Layered World Models for Efficient Agent Planning
Jul 9, 2026Maureese Williams, Dymitr NowickiTree Search World Model-Based Planning
Institute for Cybernetics of NAS of Ukraine
Beyond the Leaderboard: A Synthesis of Tool-Use, Planning, and Reasoning Failures in Large Language Model Agents
Jul 7, 2026Wael Albayaydh, Rui Zhao, Ivan FlechaisAI Agent Reliability LLM Agent Evaluation
University of Oxford
Rethinking Scientific Discovery in the Agentic Era
Jul 4, 2026Yining Zheng, Yuxin Wang, Jiahao Lu +27AI Agents for Scientific Discovery Multi-Agent Collaboration
Shanghai Innovation Institute · Fudan University · East China Normal University
Atomic Task Graph: A Unified Framework for Agentic Planning and Execution
Jul 2, 2026Yue Zhang, Sihan Chen, Ziwen Huang +3Graph-Based Planning LLM Agent Planning
South China University of Technology · Tsinghua Shenzhen International Graduate School, Tsinghua University
Generative Skill Composition for LLM Agents
Jun 30, 2026Xinyu Zhao, Zhen Tan, Vaishnav Tadiparthi +5AI Coding Agents LLM Agent Skill Learning
University of North Carolina at Chapel Hill · Arizona State University · Honda Research Institute USA
Theory of Mind and Persuasion Beyond Conversation: Assessing the Capacity of LLMs to Induce Belief States via Planning and Action
Jun 30, 2026Ben Slater, Matteo G. Mecattaf, Lucy G. Cheke +2Theory of Mind LLM Agent Evaluation
Leverhulme Centre for the Future of Intelligence Department of Psychology University of Cambridge, UK · Prolific · Google, Paradigms of Intelligence Team
Self-Evolving World Models for LLM Agent Planning
Jun 29, 2026Xuan Zhang, Wenxuan Zhang, See-Kiong Ng +1Test-Time Adaptation World Model Learning
National University of Singapore · Singapore University of Technology and Design · Singapore Management University

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STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework

Hanlin Jiang, Jionghao Huang, Shaofei Li, Bojia Yu+5

Key Laboratory of High Confidence Software Technologies, Peking University, Ministry of Education · Southeast University · Huawei Technologies Co., Ltd.

Autonomous Cyber Defense LLM Agent Orchestration Cybersecurity LLM Agent Harnesses LLM Agent Planning

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Incident response planning is critical for restoring compromised software systems after cyberattacks. Common practice relies on expert-driven playbooks that encode fixed response procedures, but these static workflows struggle to adapt to evolving incident states, changing recovery objectives, and execution feedback. Recent LLM-based planners and tool-using agents improve automation, yet they remain unstable in long-horizon response because they lack a unified basis for maintaining incident state, aligning actions with the current recovery stage, and reusing historical experience. We present STAIR, an end-to-end agentic planning framework for incident response. The framework maintains the current incident as Graph-as-State, uses a Stage Router to dispatch planning to stage-specialized agents, and retrieves historical experiences to guide action selection. An Execution Harness executes actions, returns feedback to update the incident state, and validates action effects for future experience reuse. Across 100 Docker-based cyber ranges, our framework achieves a normalized defense score of 0.94 and improves over the strongest baseline by 9.5%.

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Latest papers 144