Long-Horizon LLM Agents

LLM: Large Language Model

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60 papers in the last four weeks, up 161% on the four weeks before. 0.6% of all new papers.

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Latest papers 297

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MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents
May 5, 2026Jiayi Chen, Yingcong Li, Guiling WangLLM Agent Memory Persistent Memory for Language Models
New Jersey Institute of Technology, Newark, USA
Beyond State Machines: Executing Network Procedures with Agentic Tool-Calling Sequences
May 4, 2026Purna Sai Garigipati, Onur Ayan, Kishor Chandra Joshi +1LLM Agent Orchestration Tool-Using Agents
Heisenberg Research Center, Huawei Technologies Duesseldorf GmbH, 80992 Munich, Germany · Eindhoven University of Technology, Eindhoven, The Netherlands
On Training Large Language Models for Long-Horizon Tasks: An Empirical Study of Horizon Length
May 4, 2026Sunghwan Kim, Junhee Cho, Beong-woo Kwak +6Long-Horizon Planning Length Generalization
Department of Artificial Intelligence, Yonsei University · †Work done during internship at Microsoft Research. · 2Microsoft Research.
The Conversations Beneath the Code: Triadic Data for Long-Horizon Software Engineering Agents
May 4, 2026Yelin KimSoftware Engineering Agents Human-AI Interaction
Independent Researcher
Planner Matters! An Efficient and Unbalanced Multi-agent Collaboration Framework for Long-horizon Planning
May 4, 2026Wenyi Wu, Sibo Zhu, Kun Zhou +1Reinforcement Learning Multi-Agent Collaboration
University of California, San Diego
Beyond Compaction: Structured Context Eviction for Long-Horizon Agents
May 1, 2026Andrew Semenov, Svyatoslav DorofeevLong-Horizon LLM Agents LLM Context Management
Kiz8
Synthetic Computers at Scale for Long-Horizon Productivity Simulation
Apr 30, 2026Tao Ge, Baolin Peng, Hao Cheng +1Computer-Use Agents Synthetic Data Generation
Microsoft
Bridging Values and Behavior: A Hierarchical Framework for Proactive Embodied Agents
Apr 30, 2026Chunhui Zhang, Yuxuan Wang, Aoyang Qin +4Hierarchical Planning Agent Evaluation
State Key Laboratory of General Artificial Intelligence, BIGAI · School of Computer Science, Peking University · Tsinghua University +3
End-to-end autonomous scientific discovery on a real optical platform
Apr 29, 2026Shuxing Yang, Fujia Chen, Rui Zhao +10Autonomous Scientific Discovery Long-Horizon LLM Agents
State Key Laboratory of Extreme Photonics and Instrumentation, College of Information Science and Electronic Engineering, ZJU-Hangzhou Global Scientific and Technological Innovation Center, The Electromagnetics Academy at Zhejiang University, Zhejiang University, Hangzhou 310027, China · Key Laboratory of Advanced Micro/Nano Electronic Devices & Smart Systems of Zhejiang, Jinhua Institute of Zhejiang University, Zhejiang University, Jinhua 321099, China · Shaoxing Institute of Zhejiang University, Zhejiang University, Shaoxing 312000, China +3
Operating-Layer Controls for Onchain Language-Model Agents Under Real Capital
Apr 28, 2026T. J. Barton, Chris Constantakis, Patti Hauseman +4AI Agent Reliability LLM Agent Evaluation
DX Research Group (DXRG)
Cutscene Agent: An LLM Agent Framework for Automated 3D Cutscene Generation
Apr 28, 2026Lanshan He, Haozhou Pang, Qi Gan +12LLM Agent Orchestration 3D Scene Generation
Kuaishou GameMind Lab
Bridging Reasoning and Action: Hybrid LLM-RL Framework for Efficient Cross-Domain Task-Oriented Dialogue
Apr 25, 2026Yangyang Zhao, Linfan Dai, Li Cai +2Constrained RL LLM-Guided RL
School of Computer Science and Technology, Changsha University of Science and Technology · School of Computer Science and Engineering, Central South University · Text Computing and Cognitive Intelligence MOE Engineering Research Center, Guizhou University +2
Co-Evolving LLM Decision and Skill Bank Agents for Long-Horizon Tasks
Apr 22, 2026Xiyang Wu, Zongxia Li, Guangyao Shi +5Continual Learning for LLM Agents Game-Playing Agents
University of Maryland · University of Southern California · Good Start Labs +2
Stateless Decision Memory for Enterprise AI Agents
Apr 22, 2026Vasundra SrinivasanLLM Agent Memory Long-Horizon LLM Agents
Data Engineering for Multimodal AI (O’Reilly) · Stanford School of Engineering
DR-Venus: Towards Frontier Edge-Scale Deep Research Agents with Only 10K Open Data
Apr 21, 2026Venus Team, Sunhao Dai, Yong Deng +10Agentic RL Deep Research Agents
Ant Group
GenericAgent: A Token-Efficient Self-Evolving LLM Agent via Contextual Information Density Maximization (V1.0)
Apr 18, 2026Jiaqing Liang, Jinyi Han, Weijia Li +15Tool-Augmented Language Model Agents LLM Agent Memory
Advantage AI Agent Lab (A3 Lab)
Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents
Apr 17, 2026Xing Zhang, Guanghui Wang, Yanwei Cui +4LLM Agent Memory LLM Agent Skill Learning
AWS Generative AI Innovation Center · HSBC Holdings Plc., HSBC Technology Center, China.
LLMs Corrupt Your Documents When You Delegate
Apr 17, 2026Philippe Laban, Tobias Schnabel, Jennifer NevilleLLM Reliability Long-Horizon LLM Agents
Microsoft Research
Scaling Test-Time Compute for Agentic Coding
Apr 16, 2026Joongwon Kim, Wannan Yang, Kelvin Niu +13AI Coding Agents Test-Time Scaling
1Meta Superintelligence Labs · University of Washington · 3New York University +4
WebXSkill: Skill Learning for Autonomous Web Agents
Apr 14, 2026Zhaoyang Wang, Qianhui Wu, Xuchao Zhang +12LLM Agent Skill Learning Long-Horizon LLM Agents
University of North Carolina at Chapel Hill · Microsoft
Oblivion: Self-Adaptive Agentic Memory Control through Decay-Driven Activation
Mar 31, 2026Ashish Rana, Chia-Chien Hung, Qumeng Sun +2Long-Horizon LLM Agents Agent Memory Management
NEC Laboratories Europe, Heidelberg, Germany · GWDG, Georg-August-Universität Göttingen, Göttingen, Germany
PhGPO: Pheromone-Guided Policy Optimization for Long-Horizon Tool Planning
Feb 14, 2026Yu Li, Guangfeng Cai, Shengtian Yang +5LLM-Guided RL Tool-Use Planning
School of Computer Science and Engineering, Southeast University, Nanjing, China · Huawei Noah’s Ark Lab, China
Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
Feb 11, 2026Yihang Yao, Zhepeng Cen, Haohong Lin +6Agentic RL LLM Agents
Carnegie Mellon University · Salesforce AI Research · Massachusetts Institute of Technology +2
StackPlanner: A Centralized Hierarchical Multi-Agent System with Task-Experience Memory Management
Jan 9, 2026Ruizhe Zhang, Xinke Jiang, Zhibang Yang +12Multi-Agent LLM Systems Multi-Agent Collaboration
School of Computer Science, Peking University, Beijing, China · 2National Engineering Research Center for Software Engineering, Peking University, Beijing, China · 3Key Laboratory of High Confidence Software Technologies, Ministry of Education, Beijing, China +5
CaveAgent: Transforming LLMs into Stateful Runtime Operators
Jan 4, 2026Maohao Ran, Zhenglin Wan, Cooper Lin +21LLM Agent Memory LLM Agents
HKUST · HKBU · NUS +8
How Well Can Modern LLMs Act as Agent Cores in Radiology Environments?
Dec 12, 2024Qiaoyu Zheng, Chaoyi Wu, Weike Zhao +5Healthcare LLM Agent Evaluation
Shanghai Jiao Tong University, Shanghai, China · Department of Radiology, Renmin Hospital of Wuhan University, Wuhan, China
LLM-BabyBench: Can Language Models Plan in Worlds They Can Simulate?
Date pendingIdriss Malek, Omar Choukrani, Daniil Orel +5LLM Planning LLM Agent Evaluation

May 5, 2026, cs.MAJ/K move · Enter open · S save

MemFlow: Intent-Driven Memory Orchestration for Small Language Model Agents

Jiayi Chen, Yingcong Li, Guiling Wang

New Jersey Institute of Technology, Newark, USA

LLM Agent Memory Persistent Memory for Language Models Small Language Models LLM Agent Workflow Optimization Long-Horizon LLM Agents Agent Memory Management

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Modern language agents must operate over long-horizon, multi-turn histories, yet deploying such agents with Small Language Models (SLMs) remains fundamentally difficult. Full-context prompting causes context overflow, flat retrieval exposes the model to noisy evidence, and open-ended agentic loops are unreliable under limited reasoning capacity. We argue that a substantial portion of SLM memory failure arises from mismatched memory operations: different query types demand categorically different retrieval strategies, evidence transformations, and context budgets that SLMs cannot reliably self-orchestrate through open-ended reasoning. We introduce MemFlow, a training-free memory orchestration framework that externalizes memory planning from the SLM. A Router Agent classifies each query by intent and dispatches it to the Memory Agent, which executes one of three specialized tiers (Profile Lookup, Targeted Retrieval, or Deep Reasoning) and assembles the resulting evidence under a dynamic, tier-aware token budget. An Answer Agent then generates a response from this compact context, and a Validator Agent optionally retries with a heavier memory tier when the response is not supported by the provided evidence. This route-then-compile design avoids tool-selection hallucination and reasoning loops while keeping the answer context compact. Evaluated on a frozen Qwen3-1.7B backbone across long-horizon memory benchmarks - LongMemEval, LoCoMo, and LongBench - MemFlow improves accuracy by nearly 2x over full-context SLM baselines. These results suggest that structured intent routing and deterministic evidence preparation can make limited-capacity models substantially more effective in resource-constrained long-horizon agents.

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