LLM Agents

LLM: Large Language Model

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57 papers in the last four weeks, up 58% on the four weeks before. 0.6% of all new papers.

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ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis
Apr 18, 2026Hao Wang, Jindong Han, Wei Fan +1AI Agents for Scientific Discovery Climate Science
1The Hong Kong University of Science and Technology (Guangzhou) · 3Shandong University · University of Auckland +1
Skilldex: A Package Manager and Registry for Agent Skill Packages with Hierarchical Scope-Based Distribution
Apr 18, 2026Sampriti Saha, Pranav HemanthLLM Agents
Pandemonium Research
Know When to Trust the Skill: Delayed Appraisal and Epistemic Vigilance for Single-Agent LLMs
Apr 17, 2026Eren UnluLLM Agents LLM Uncertainty Estimation
Globeholder Paris, France
Evaluating Tool-Using Language Agents: Judge Reliability, Propagation Cascades, and Runtime Mitigation in AgentProp-Bench
Apr 17, 2026Bhaskar GurramAI Agent Reliability Tool-Augmented Language Model Agents
Zasti Inc., Ashburn, VA, USA
AgentV-RL: Scaling Reward Modeling with Agentic Verifier
Apr 17, 2026Jiazheng Zhang, Ziche Fu, Zhiheng Xi +13Reward Modeling RL for Language Model Reasoning
College of Computer Science and Artificial Intelligence, Fudan University · Huazhong University of Science and Technology · The University of Hong Kong +3
"Excuse me, may I say something..." CoLabScience, A Proactive AI Assistant for Biomedical Discovery and LLM-Expert Collaborations
Apr 16, 2026Yang Wu, Jinhong Yu, Jingwei Xiong +2AI-Assisted Scientific Research LLM Agents
Worcester Polytechnic Institute, Worcester, MA, USA · University of California, Davis, CA, USA · Jiangsu University, Zhenjiang, Jiangsu, China
Autogenesis: A Self-Evolving Agent Protocol
Apr 16, 2026Wentao Zhang, Zhe Zhao, Haibin Wen +4Multi-Agent LLM Systems LLM Agent Self-Improvement
Nanyang Technological University · Stanford University · City University of Hong Kong +1
El Agente Forjador: Task-Driven Agent Generation for Quantum Simulation
Apr 16, 2026Zijian Zhang, Aiwei Yin, Amaan Baweja +4Multi-Agent LLM Systems AI for Science
Department of Computer Science, University of Toronto, 40 St George St., Toronto, ON M5S 2E4, Canada · Vector Institute for Artificial Intelligence, W1140-108 College St., Schwartz Reisman Innovation2026 Campus, Toronto, ON M5G 0C6, Canada · NVIDIA, 431 King St W #6th, Toronto, ON M5V 1K4, Canada +5
AgileLog: A Forkable Shared Log for Agents on Data Streams
Apr 16, 2026Shreesha G. Bhat, Tony Hong, Michael Noguera +2LLM Agents
University of Illinois Urbana-Champaign
High Volatility and Action Bias Distinguish LLMs from Humans in Group Coordination
Apr 2, 2026Sahaj Singh Maini, Robert L. Goldstone, Zoran TiganjMulti-Agent Coordination LLM Agents
Department of Computer Science, Indiana University Bloomington · Cognitive Science Program, Indiana University Bloomington · Department of Psychological and Brain Sciences, Indiana University Bloomington
PolyJarvis: An LLM-Orchestrated Agent for Automated All-Atom Molecular Dynamics of Amorphous Homopolymers
Apr 2, 2026Alexander Zhao, Achuth Chandrasekhar, Amir Barati FarimaniMaterials Property Prediction Materials Science
Department of Materials Science and Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA · Department of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213, USA
From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents
Mar 27, 2026Trilok Padhi, Ramneet Kaur, Krishiv Agarwal +9LLM Interpretability Representation Probing
Georgia State University, Atlanta, USA · Computer Science Lab, SRI, Menlo Park, USA · Computer Science Department, University of Florida, USA +1
Ask or Assume? Uncertainty-Aware Clarification-Seeking in Coding Agents
Mar 27, 2026Nicholas Edwards, Sebastian SchusterMulti-Agent LLM Systems AI Coding Agents
Faculty of Computer Science, University of Vienna, Vienna, Austria · UniVie Doctoral School Computer Science, University of Vienna, Vienna, Austria
From Stateless to Situated: Building a Psychological World for LLM-Based Agents
Mar 26, 2026Boning Zhao, Yutong Hu, Xinnuo LiEmotional Support Conversation LLM Agents
Independent Researcher, Shanghai, China · New York University, New York, NY, USA
AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection
Mar 24, 2026Yangxin Yu, Yue Zhou, Bin Li +4Explainable Artificial Intelligence Digital Image Forensics
Guangdong Provincial Key Laboratory of Intelligent Information Processing, Shenzhen Key Laboratory of Media Security, and SZU-AFS Joint Innovation Center for AI Technology, Shenzhen University, Shenzhen 518060, China · School of Cyber Science and Technology, Sun Yat-sen University, China · Smart City Research Institute of China Electronics Technology Group Corporation, Shenzhen, China
CCTU: A Benchmark for Tool Use under Complex Constraints
Mar 16, 2026Junjie Ye, Guoqiang Zhang, Wenjie Fu +4Tool-Use Evaluation AI Agent Benchmarks
College of Computer Science and Artificial Intelligence, Fudan University
Agentic AI for Scalable and Robust Optical Systems Control
Feb 23, 2026Zehao Wang, Mingzhe Han, Wei Cheng +12LLM Agent Orchestration AI Agent Benchmarks
Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708, USA · NEC Laboratories America, Princeton, NJ 08540, USA · Duke Quantum Center and Department of Physics, Duke University, Durham, NC, USA 27708 +4
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
When Is Enough Not Enough? Illusory Completion in Search Agents
Feb 7, 2026Dayoon Ko, Jihyuk Kim, Sohyeon Kim +5AI Agent Reliability LLM Answer Verification
Seoul National University · LG AI Research · University of Illinois Chicago
Toward Efficient Agents: Memory, Tool learning, and Planning
Jan 20, 2026Xiaofang Yang, Lijun Li, Heng Zhou +12LLM Agent Memory AI Agent Benchmarks
Shanghai Artificial Intelligence Laboratory · Fudan University · University of Science and Technology of China +5
Real-Time Deadlines Reveal Fragile Temporal Adaptation in LLM Strategic Dialogues
Jan 19, 2026Neil K. R. Sehgal, Sharath Chandra Guntuku, Lyle UngarLLM Agent Evaluation LLM Decision-Making
University of Pennsylvania
IDRBench: Benchmarking the Interactive Capabilities of Deep Research Agents
Jan 10, 2026Yingchaojie Feng, Qiang Huang, Xiaoya Xie +4Deep Research Agents LLM Agent Evaluation
School of Computing, National University of Singapore · School of Intelligence Science and Engineering, Harbin Institute of Technology (Shenzhen) · Zhejiang University +1
CaveAgent: Transforming LLMs into Stateful Runtime Operators
Jan 4, 2026Maohao Ran, Zhenglin Wan, Cooper Lin +21LLM Agent Memory LLM Agents
HKUST · HKBU · NUS +8
Agent Tools Orchestration Leaks More: Dataset, Benchmark, and Mitigation
Dec 18, 2025Yuxuan Qiao, Dongqin Liu, Hongchang Yang +2LLM Agent Security LLM Agents
Institute of Information Engineering, Chinese Academy of Sciences · School of Cyber Security, University of Chinese Academy of Sciences
Achieving Olympiad-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning
Dec 11, 2025Haiteng Zhao, Junhao Shen, Yiming Zhang +7LLM Agents Reinforcement Learning
1Shanghai AI Laboratory · 2Shanghai Jiao Tong University · 3Peking University +2
Rethinking Query Optimization for Multi-Agent Systems [Vision]
Dec 10, 2025Zoi Kaoudi, Ioana GiurgiuMulti-Agent System Optimization Multi-Agent Orchestration
IT University of Copenhagen · IBM Research Europe
Evolving Excellence: Automated Optimization of LLM-based Agents
Dec 9, 2025Paul Brookes, Vardan Voskanyan, Rafail Giavrimis +18Large Language Model-Guided Optimization LLM Agent Workflow Optimization
TurinTech AI, London, UK · University of Surrey, Guildford, United Kingdom · University of Leeds, Leeds, UK +4
REMSA: Foundation Model Selection for Remote Sensing via a Constraint-Aware Agent
Nov 21, 2025Binger Chen, Tacettin Emre Bök, Behnood Rasti +2Model Selection Geospatial Foundation Models
Humboldt-Universität zu Berlin, Berlin, Germany · 5U AI, Munich, Germany · Technische Universität Berlin & BIFOLD, Berlin, Germany
Domain-Specific Agents for Cherenkov Telescope Array Control Software and Gamma-Ray Data Analysis
Oct 1, 2025Dmitriy Kostunin, Elisa Jones, Vladimir Sotnikov +3High-Energy Physics LLM Agents
Deutsches Elektronen-Synchrotron DESY, 15738 Zeuthen, Germany · JetBrains Limited, 8046 Paphos, Cyprus · JetBrains GmbH, 80639 München, Germany +1
Reasoning or Rambling? Exploring the Effect of Thinking on Agent Persuasion
Sep 25, 2025Haodong Zhao, Jidong Li, Zhaomin Wu +4LLM Agents Persuasion in Language Models
School of Computer Science, Shanghai Jiao Tong University · 2National University of Singapore · 3Inner Mongolia Research Institute, Shanghai Jiao Tong University

Apr 18, 2026, cs.AIJ/K move · Enter open · S save

ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis

Hao Wang, Jindong Han, Wei Fan, Hao Liu

1The Hong Kong University of Science and Technology (Guangzhou) · 3Shandong University · University of Auckland+1

AI Agents for Scientific Discovery Climate Science LLM Agents Large Language Model-Guided Scientific Discovery

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Climate research is pivotal for mitigating global environmental crises, yet the accelerating volume of multi-scale datasets and the complexity of analytical tools have created significant bottlenecks, constraining scientific discovery to fragmented and labor-intensive workflows. While the emergence Large Language Models (LLMs) offers a transformative paradigm to scale scientific expertise, existing explorations remain largely confined to simple Question-Answering (Q&A) tasks. These approaches often oversimplify real-world challenges, neglecting the intricate physical constraints and the data-driven nature required in professional climate science.To bridge this gap, we introduce ClimAgent, a general-purpose autonomous framework designed to execute a wide spectrum of research tasks across diverse climate sub-fields. By integrating a unified tool-use environment with rigorous reasoning protocols, ClimAgent transcends simple retrieval to perform end-to-end modeling and analysis. To foster systematic evaluation, we propose ClimaBench, the first comprehensive benchmark for real-world climate discovery. It encompasses challenging problems spanning 5 distinct task categories derived from professional scenarios between 2000 and 2025. Experiments on ClimaBench demonstrate that ClimAgent significantly outperforms state-of-the-art baselines, achieving a 40.21% improvement over original LLM solutions in solution rigorousness and practicality. Our code are available at https://github.com/usail-hkust/ClimAgent.

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