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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OntoPlan: An Ontology-Grounded Scene Representation and Agentic Framework for Scalable Robot Task Planning
Oct 6, 2026Hyeongwoo Nam, Woongje Cho, Juwon Kim +1Large Language Model-Based Robot Planning Robot Task Planning
School of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea
AgentDiscover: Autonomous Discovery with Minimal Search Scaffolding
Oct 4, 2026Mahdi Farahbakhsh, Ilan Sela, Fatemeh Doudi +4AI Agents for Scientific Discovery Automated Algorithm Discovery
Texas A&M University
Spatial Strategies, Not Actions: Vector-Quantized Geodesics as Tools for LLM-Driven Agents
Sep 30, 2026Gabriel TuriniciLLM Agent Skill Learning Tool-Using Agents
CEREMADE CNRS Université Paris Dauphine - PSL Paris 75116 FRANCE
JevSpawn: Adaptive Agentic Inference through Compositional Action Spaces
Sep 30, 2026Haoyang Su, Weiran HuangEfficient Language Model Inference LLM Agent Planning
Fudan University · Shanghai Jiao Tong University · Shanghai Innovation Institute
DAGent: Evaluate-then-Grow Planning for Deep Research Agents
Sep 30, 2026Hanwen Liu, Yuanfu Sun, Qiaoyu TanMulti-Agent LLM Systems Deep Research Agents
New York University · New York University Shanghai
Schema: Discovering Unknown Environments via Agentic Program Induction
Sep 30, 2026Guanning Zeng, Jiani Wang, Wenjie Ma +8LLM Agent Harnesses LLM Agent Planning
Carnegie Mellon University · Impossible Research · UC Berkeley
GraphForge: Training Working Agents with Graph-Anchored Workspace Synthesis
Sep 30, 2026Qisheng Su, Hanchen Wang, Guanru Zhu +10AI Agent Benchmarks LLM Agent Training
University of Science and Technology of China · Shanghai Innovation Institute · Fudan University +1
Consistent Plan-Act for Long-Horizon Agentic Tasks
Sep 30, 2026Heng-Zhuang Li, Yi-Kai Zhang, Yu Wang +4Multi-Agent Coordination Long-Horizon Agent Tasks
School of Artificial Intelligence, Nanjing University · National Key Laboratory for Novel Software Technology, Nanjing University · LongCat Team, Meituan +1
Do LLM Agents Execute the Plans They Declare? From Planning-Mode Declaration to Pattern-Specific Execution
Sep 29, 2026Subba Reddy Oota, Francisco Herrera, Jordi Cabot Sagrera +2LLM Agents Long-Horizon LLM Agents
ADIA Lab, Abu Dhabi, United Arab Emirates · University of Granada, Granada, Spain · Luxembourg Institute of Science and Technology, Luxembourg +2
SGG-ReflAct: Sub-Goal Guided ReflAct with Structured Planning for Reliable Long-Horizon Reasoning
Sep 28, 2026Jaeho Jung, Sung Hoon JungLLM Agents Long-Horizon LLM Agents
Independent Researcher Seoul, Republic of Korea · Department of Applied Artificial Intelligence Hansung University Seoul, Republic of Korea
Commitment Hierarchies under Intent Revision: A Belief-Revision Account of Salvage in Tool-Use Agents
Sep 28, 2026Spandan Ghose ChowdhuryBelief Revision LLM Planning
Georgia Institute of Technology, Atlanta, GA, USA
Org-Agent: Beyond Personal Assistants Towards Organizational Agents
Sep 28, 2026Luyao Zhuang, Yujing Zhang, Zijin Hong +2LLM Agent Planning Memory-Augmented Language Model Agents
The Department of Computing, The Hong Kong Polytechnic University, Hong Kong SAR
SAGE: Symbolic Action-Gating and Editing for LLM Task Planners
Sep 28, 2026Trung Minh Bui, JongSul Moon, YoungOuk Kim +3Large Language Model-Based Robot Planning Symbolic Planning
Intelligent Robotics Research Center, Korea Electronics Technology Institute (KETI), Seongnam 13449, Republic of Korea
HyperMCTS: Hypergraph-Augmented MCTS for Long-Horizon LLM Agents
Sep 27, 2026Tingsong Xiao, Nithish Balachandar Moudhgalya, Chandrayee Basu +5Monte Carlo Tree Search Long-Horizon LLM Agents
University of Florida · Amazon
Qwen-Planner-Agent: A Closed-Loop AI-for-AI Framework for Real-World Mobile Planner Agents
Sep 24, 2026Tingyu Qu, Weigao Sun, Yuecheng Liu +23Agentic RL Agent Harness Optimization
MAI Team, Alibaba Token Hub, Alibaba Group
Where Cyber Agents Struggle: Bottleneck Analysis of Multi-Stage LLM Agents
Sep 23, 2026Saeedeh Lohrasbi, Mohammad Mamun, Ahmed Yehia +2Agent Failure Analysis LLM Agent Evaluation
Cybersecurity, DTRC, National Research Council, Ottawa, Canada · University of Windsor, Windsor, Ontario, Canada
AgenticSizing: A Large Language Model-based Multi-Agent Framework for Analog Circuit Sizing
Sep 22, 2026Yijia Hao, Pratibha Verma, Dongxu Guo +4Large Language Model-Guided Optimization Electronic Design Automation
Centre for Electronics Frontiers, Institute for Integrated Micro and Nano Systems, School of Engineering, The University of Edinburgh, UK · Department of Electrical Engineering, Indian Institute of Technology Indore, India · School of Informatics, The University of Edinburgh, UK +1
An Empirical Study of Harness Design for Coding Agents
Sep 17, 2026Run-Ze Fan, Zihao Zhang, Simin Ma +6Coding Agents Agent Harness Optimization
UMass Amherst · Emory University · UNC Charlotte
How Do Agent Harnesses Create Value? Planning Information and Release Control in Stateful LLM Agents
Sep 17, 2026Yukun Zhang, Kemu Xu, Yishen ChenAgent Harness Optimization LLM Agent Verification
The Chinese University of Hong Kong, Shenzhen, China · University of Edinburgh, Edinburgh, United Kingdom · The Chinese University of Hong Kong, Hong Kong, China
Replan, Repair, or Edit? A Unified Empirical Evaluation of Travel Agents for Itinerary Revision under Resource Disruptions
Sep 17, 2026Xiaofei Yuan, Yan Zhang, Shaobo Qiao +7LLM Planning LLM Agent Planning
Euler AI · University of New South Wales · University of Sydney +1
Earth-Agent-Pro: Towards Real-World Full-Chain Earth Observation with Agents
Sep 14, 2026Zhutao Lv, Chenhao Dang, Yi Feng +5Remote Sensing AI Agent Benchmarks
Tsinghua Shenzhen International Graduate School, Tsinghua University · Sun Yat-Sen University · Shanghai Jiao Tong University +3
The Menu Is an Execution Prior: State-Path Tool Menus for Online Agents
Sep 10, 2026Bo Yan, Weikai Lin, Song WangTool-Using Agents LLM Tool Use
Department of Computer Science & Institute of Artificial Intelligence, University of Central Florida · Department of Computer Science, University of Rochester
Procedural Graphs: Self-Evolving Execution Structures for LLM Agents
Sep 8, 2026Yuxing Lu, Yicheng Chen, Shanchan Wu +1Graph-Based Agent Memory Long-Horizon LLM Agents
Google · Georgia Institute of Technology · Peking University
Bioinfoysis Technical Report
Sep 3, 2026Qingyang Shao, Xin Zhang, Zhouyang Yuan +24Multi-Agent LLM Systems LLM Agent Harnesses
DeepAutonomy Team
Fresh Memory, Stale Plans: Derivation Currency for Distributed LLM-Agent Memory
Sep 3, 2026Evan Chen, Shiqiang Wang, Christopher G. BrintonData Provenance Runtime Enforcement for AI Agents
Purdue University · University of Exeter
TRIPPULSE: Multi-Agent Travel Planning with Review-Grounded Reasoning
Aug 31, 2026Priyanshu Karmakar, Borru Vijay Sai, Shubhojit Mallick +3Multi-Agent LLM Systems LLM Agent Planning
IIT Bhubaneswar, India · Microsoft, India
HALO: A Physics-Aware LLM Agent Framework for Nanophotonic Design
Aug 28, 2026Yubo Zhang, Jinlin Xiang, Zijun Zhao +3AI Agents for Scientific Discovery LLM Agent Planning
Department of Electrical & Computer Engineering, University of Washington, Seattle, WA, USA
SynAct: A Reasoning-Acting Large Language Model Agent for Adaptive Synthesis Optimization
Aug 13, 2026Fangzhou Liu, Peiyi Han, Jiawei Liu +5Large Language Model-Guided Optimization Electronic Design Automation
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR.
GeoForge: Non-Parametric Self-Evolving Agents for Earth-Observation Reasoning
Aug 11, 2026Xin Xiao, Jiang Zhong, Junnan Zhu +4Agent Memory Geospatial Reasoning
School of Computer Science, Chongqing University · MAIS, Institute of Automation, Chinese Academy of Sciences · Aerospace Information Research Institute, Chinese Academy of Sciences
SBCO: Self-Supervised, Verifier-Grounded Harness Optimization For Planning Agents
Aug 10, 2026Vivek Kulkarni, Sudipta Paul, Aounon Kumar +2Agent Harness Optimization Self-Improving Agents
Samsung Research America

Oct 6, 2026, cs.ROJ/K move · Enter open · S save

OntoPlan: An Ontology-Grounded Scene Representation and Agentic Framework for Scalable Robot Task Planning

Hyeongwoo Nam, Woongje Cho, Juwon Kim, Jongeun Choi

School of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea

Large Language Model-Based Robot Planning Robot Task Planning LLM Agent Planning

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Large language model (LLM)-based robot task planning is promising for open-ended instruction following, but degrades on long-horizon tasks in large environments. When spatial information is conveyed to the LLM through text, the model can fail to capture spatial context, and token cost grows with environment size. Generating action sequences directly with an LLM also makes it difficult to satisfy the current world state and action preconditions. We address this with an ontology-grounded scene representation that aligns objects, spaces, relations, and states in a shared symbolic vocabulary for spatial reasoning and task planning, and with OntoPlan, an agentic framework that interprets instructions, selectively retrieves task-relevant information, formalizes goals and constraints, and produces executable plans. Across 150 general tasks spanning five indoor environments and three scene scales, OntoPlan achieves 0.89 average task success, compared with 0.27 for the strongest baseline, while using 18.1k total tokens per task on average, about 5.6

\times

fewer than the most efficient baseline. These advantages persist as scene scale increases, whereas prior methods degrade more sharply in success and remain far more costly in tokens. OntoPlan also responds appropriately to ambiguous or infeasible instructions by asking follow-up questions or reporting insufficient information rather than committing to invalid plans. Code available at https://github.com/namhyeongwoo/OntoPlan.

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