Large Language Model Agents

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Agent-Based Post-Hoc Correction of Agricultural Yield Forecasts
May 12, 2026Matthew Beddows, Aiden Durrant, Georgios LeontidisAgricultural Landscapes Apple Tree Leaf Disease Segmentation Dataset
Iterative Audit Convergence in LLM-Managed Multi-Agent Systems: A Case Study in Prompt-Engineering Quality Assurance
May 12, 2026Elias CalboreanuMulti-Agent Large Language Model Algorithm Auditing
SkillGraph: Skill-Augmented Reinforcement Learning for Agents via Evolving Skill Graphs
May 12, 2026Xiaoyuan Li, Moxin Li, Keqin Bao +4Skill Evolution Agentic Reinforcement-Learning Framework
SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces
May 12, 2026Chang Jin, An Wang, Zeming Wei +7Safety Large Language Model Agents
GEAR: Granularity-Adaptive Advantage Reweighting for LLM Agents via Self-Distillation
May 12, 2026Sijia Li, Yuchen Huang, Zifan Liu +7Credit Assignment Group Relative Policy Optimization
Cochise: A Reference Harness for Autonomous Penetration Testing
May 12, 2026Andreas Happe, Jürgen CitoPenetration Testing Test Generation
Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations
May 12, 2026Junjue Wang, Weihao Xuan, Heli Qi +7Disasters Emergency Evacuations
PRISM: : Planning and Reasoning with Intent in Simulated Embodied Environments
May 12, 2026Yunn Kang Lim, Pengzhan Sun, Ziyi Bai +4Embodied Agents Large Language Model Agents
Agent-BRACE: Decoupling Beliefs from Actions in Long-Horizon Tasks via Verbalized State Uncertainty
May 12, 2026Joykirat Singh, Zaid Khan, Archiki Prasad +5Long-Horizon Agents Initial Human Belief Distributions
gwBenchmarks: Stress-Testing LLM Agents on High-Precision Gravitational Wave Astronomy
May 11, 2026Tousif Islam, Digvijay Wadekar, Zihan ZhouGravitational Waves Large Language Model Agents
PIVOT: Bridging Planning and Execution in LLM Agents via Trajectory Refinement
May 11, 2026Tuo Zhang, Alin-Ionut Popa, Yan Xu +2Planning Methods Interaction Trajectories
OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents
May 11, 2026Sheldon Yu, Junda Wu, Xintong Li +6Large Language Model Agents Personalized Large Language Model Agents
ComplexMCP: Evaluation of LLM Agents in Dynamic, Interdependent, and Large-Scale Tool Sandbox
May 11, 2026Yuanyang Li, Xue Yang, Longyue Wang +2Large Language Model Agents Model Context Protocol
LITMUS: Benchmarking Behavioral Jailbreaks of LLM Agents in Real OS Environments
May 11, 2026Chiyu Zhang, Huiqin Yang, Bendong Jiang +8Large Language Model Safety Security Analysis
PRISM: Generation-Time Detection and Mitigation of Secret Leakage in Multi-Agent LLM Pipelines
May 11, 2026Riya Tapwal, Abhishek Kumar, Carsten MapleData Leakage Language Model Evasion Attacks
Collective Alignment in LLM Multi-Agent Systems: Disentangling Bias from Cooperation via Statistical Physics
May 11, 2026Cristiano De NobiliMulti-Agent Large Language Model Multi-Agent Systems
NyayaAI: An AI-Powered Legal Assistant Using Multi-Agent Architecture and Retrieval-Augmented Generation
May 11, 2026Deepanshu, Divi Saxena, Deepali Rana +2Legal Domain Multi-Agent Large Language Model Systems
Strategic Exploitation in LLM Agent Markets: A Simulation Framework for E-Commerce Trust
May 11, 2026Shijun Lei, Quang Nguyen, Swapneel S Mehta +7Multi-Agent Simulations Personalized Large Language Model Agents
Sequential Behavioral Watermarking for LLM Agents
May 11, 2026Hyeseon An, Shinwoo Park, Dongsu Kim +1Large Language Model Agents Watermarking
Nautilus Compass: Black-box Persona Drift Detection for Production LLM Agents
May 11, 2026Chunxiao WangLarge Language Model Agents Agent Memory
CalBench: Evaluating Coordination-Privacy Trade-offs in Multi-Agent LLMs
May 10, 2026Chelsea Zou, Yiheng Yao, Selena She +2Multi-Agent Large Language Model Artificial Intelligence Assistants
Position: AI Security Policy Should Target Systems, Not Models
May 10, 2026Michael A. Riegler, Inga StrümkeVulnerability Detection & Repair Artificial Intelligence Safety
Skill-R1: Agent Skill Evolution via Reinforcement Learning
May 10, 2026Yash Vishe, Rohan Surana, Xunyi Jiang +8Skill Evolution Agentic Reinforcement-Learning Framework
Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation
May 10, 2026Ye Yu, Xiaopeng Yuan, Haibo Jin +3Self-Evolving Agents Unseen-Task Adaptation
LLM Agents Already Know When to Call Tools -- Even Without Reasoning
May 10, 2026Chung-En Sun, Linbo Liu, Ge Yan +2Multi-Turn Tool-Use Agent Tool
FORTIS: Benchmarking Over-Privilege in Agent Skills
May 9, 2026Shawn Li, Chenxiao Yu, Han Wang +8Privilege Illusion Large Language Model Agents
A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability
May 9, 2026Hamed Omidvar, Vahideh AkhlaghiLarge Language Model Reliability Large Language Model Routing
Token Economics for LLM Agents: A Dual-View Study from Computing and Economics
May 9, 2026Yuxi Chen, Junming Chen, Chenyu He +9Economies Large Language Model Agents
Robust Multi-Agent LLMs under Byzantine Faults
May 9, 2026Haejoon Lee, Vincent-Daniel Yun, Dimitra Panagou +1Multi-Agent Large Language Model Byzantine Attacks
GAMBIT: A Three-Mode Benchmark for Adversarial Robustness in Multi-Agent LLM Collectives
May 9, 2026Alexandre Le Mercier, Chris Develder, Thomas DemeesterAdversarial Evaluation Artificial Intelligence Detection
OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces
May 9, 2026Xiaozhe Li, Jixuan Chen, Xinyu Fang +4Large Language Model Agents Recursive Self-Improvement
OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents
May 9, 2026Xinyu Li, Ronghui Mu, Lin Li +2Language Model Evasion Attacks Large Language Model Reasoning
When Agents Overtrust Environmental Evidence: An Extensible Agentic Framework for Benchmarking Evidence-Grounding Defects in LLM Agents
May 9, 2026Strick Sheng, Ziyue Wang, Liyi ZhouAgentic Benchmarks Large Language Model Agents
SkillMaster: Toward Autonomous Skill Mastery in LLM Agents
May 9, 2026Min Yang, Jinghua Piao, Xu Xia +4Large Language Model Agents Agentic Reinforcement-Learning Framework
Iterative Critique-and-Routing Controller for Multi-Agent Systems with Heterogeneous LLMs
May 9, 2026Wenzhi Fang, Liangqi Yuan, Guangchen Lan +2Multi-Agent Large Language Model Multi-Agent Systems
Why Retrying Fails: Context Contamination in LLM Agent Pipelines
May 8, 2026Zhanfu YangLarge Language Model Agents Equal Error Rate
Human-Inspired Memory Architecture for LLM Agents
May 8, 2026Doga Kerestecioglu, Alexei Robsky, Clemens Vasters +2Large Language Model Agents Conversational Benchmarks
Defense effectiveness across architectural layers: a mechanistic evaluation of persistent memory attacks on stateful LLM agents
May 8, 2026Jun Wen LeongThreat Models Large Language Model Agents
SkillLens: Adaptive Multi-Granularity Skill Reuse for Cost-Efficient LLM Agents
May 8, 2026Yongliang Miao, Ziyang Yu, Liang Zhao +2Skill Evolution Large Language Model Agents
The Memory Curse: How Expanded Recall Erodes Cooperative Intent in LLM Agents
May 8, 2026Jiayuan Liu, Tianqin Li, Shiyi Du +7Agent Memory Large Language Model Agents
AgentEscapeBench: Evaluating Out-of-Domain Tool-Grounded Reasoning in LLM Agents
May 8, 2026Zhengkang Guo, Yiyang Li, Lin Qiu +7Large Language Model Agents Knowledge-Grounded Reasoning
RelAgent: LLM Agents as Data Scientists for Relational Learning
May 8, 2026Xingyue Huang, Louis Tichelman, Jinwoo Kim +2Relational Deep Learning Table Reasoning Datasets
CyBiasBench: Benchmarking Bias in LLM Agents for Cyber-Attack Scenarios
May 8, 2026Taein Lim, Seongyong Ju, Munhyeok Kim +2Implicit Bias Large Language Model Agents
SOD: Step-wise On-policy Distillation for Small Language Model Agents
May 8, 2026Qiyong Zhong, Mao Zheng, Mingyang Song +5On-Policy Distillation Large Language Model Reasoning
SkillSelect-Serve: QoS-Aware Budgeted Skill Service Recommendation for LLM Agents
May 8, 2026Jingyuan Zheng, Dongjing Wang, Xin Zhang +7Reusable Agent Skills Large Language Model Agents
BioProVLA-Agent: An Affordable, Protocol-Driven, Vision-Enhanced VLA-Enabled Embodied Multi-Agent System with Closed-Loop-Capable Reasoning for Biological Laboratory Manipulation
May 8, 2026Zhaohui Du, Zhe Wang, Dongzhan Zhou +9Embodied Agents Life Sciences Research
SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model
May 8, 2026Shiyue Cao, Pei Xu, Likun Yang +3Multi-Agent Systems Llm-Based Agent
Insider Attacks in Multi-Agent LLM Consensus Systems
May 8, 2026Xiaolin Sun, Zixuan Liu, Yibin Hu +1Multi-Agent Large Language Model Adversaries
Rethinking Experience Utilization in Self-Evolving Language Model Agents
May 8, 2026Weixiang Zhao, Yingshuo Wang, Yichen Zhang +6Self-Evolving Agents Experience
MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments
May 8, 2026Yicheng Gao, Xiaolin Zhou, Yahan Li +2Clinical Reasoning Diagnostic Benchmark
The Context Gathering Decision Process: A POMDP Framework for Agentic Search
May 7, 2026Chinmaya Kausik, Adith Swaminathan, Nathan KallusLarge Language Model Agents Agentic Reasoning
SmellBench: Evaluating LLM Agents on Architectural Code Smell Repair
May 7, 2026Ion George Dinu, Marian Cristian Mihăescu, Traian RebedeaCode Quality Codebases
Learning and Reusing Policy Decompositions for Hierarchical Generalized Planning with LLM Agents
May 7, 2026Shirin Sohrabi, Haritha Ananthakrishnan, Harsha Kokel +2Large Language Model Planning Classical Planning
A Reproducible Optimisation Protocol for Calibrating Prompt-Based Large Language Model Workflows in Evidence Synthesis
May 7, 2026Teo SusnjakMulticalibration and Calibration Multi-Agent Large Language Model Systems
Same Signal, Opposite Meaning: Direction-Informed Adaptive Learning for LLM Agents
May 7, 2026Ziming Li, Jiatan Huang, Xiaoguang Guo +2Counterfactual Rollouts Large Language Model Agents
AI CFD Scientist: Toward Open-Ended Computational Fluid Dynamics Discovery with Physics-Aware AI Agents
May 7, 2026Nithin Somasekharan, Rabi Pathak, Manushri Dhanakoti +4Computational Fluid Dynamic Scientific Discovery
NeuroAgent: LLM Agents for Multimodal Neuroimaging Analysis and Research
May 7, 2026Lujia Zhong, Yihao Xia, Jianwei Zhang +4Neuroimaging Models Multimodal Agents
STALE: Can LLM Agents Know When Their Memories Are No Longer Valid?
May 7, 2026Hanxiang Chao, Yihan Bai, Rui Sheng +2Agent Memory Gradient Staleness
Sustaining Cooperation in Populations Guided by AI: A Folk Theorem for LLMs
May 7, 2026Jonathan Shaki, Eden Hartman, Sarit Kraus +1Cooperation Multi-Agent Large Language Model
Instrumental Choices: Measuring the Propensity of LLM Agents to Pursue Instrumental Behaviors
May 7, 2026Jonas Wiedermann-Möller, Leonard Dung, Maksym AndriushchenkoArtificial Intelligence Safety Large Language Model Agents

May 12, 2026 · cs.LGJ/K move · Enter open · S save

Agent-Based Post-Hoc Correction of Agricultural Yield Forecasts

Matthew Beddows, Aiden Durrant, Georgios Leontidis

School of Natural and Computing Sciences University of Aberdeen, UK · School of Computing Sciences University of East Anglia, UK · Department of Physics and Technology UiT The Arctic University of Norway

Accurate crop yield forecasting in commercial soft fruit production is constrained by the data available in typical commercial farm records, which lack the sensor networks, satellite imagery, and high-resolution meteorological inputs that most state-of-the-art approaches assume. We propose a structured LLM agent framework that performs post-hoc correction of existing model predictions, encoding agricultural domain knowledge across tools for phase detection, bias learning, and range validation. Evaluated on a proprietary strawberry yield dataset and a public USDA corn harvest dataset, agent refinement of XGBoost reduced MAE by 20% and MASE by 56% on strawberry, with consistent improvements across Moirai2 (MAE 24%, MASE 22%) and Random Forest (MAE 28%, MASE 66%) baselines. Using Llama 3.1 8B as the agent produced the strongest corrections across all configurations; LLaVA 13B showed inconsistent gains, highlighting sensitivity to the choice of refinement model.

Agricultural Landscapes Apple Tree Leaf Disease Segmentation Dataset Post-Hoc Large Language Model Agents Bias Learning

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