Overview

Human-in-the-loop AI studies how people can teach, correct, guide, or oversee AI systems, from labeling examples in active learning to providing preferences in reinforcement learning and reviewing agent decisions. Common approaches include interactive interfaces, learning to defer uncertain cases to experts, and using human demonstrations or corrections to adapt robots and other systems during deployment. Applications range from medical decision support and education to robotics, scientific research, and software engineering, evaluated through benchmarks, user studies, and real-world trials. A central tension is how to make human input effective without creating excessive workload or encouraging overreliance, while preserving people’s ability to understand, challenge, and override AI decisions.

Latest papers

CardsList

289 papers30 papers in the last four weeks, down 9% on the four weeks before. 0.2% of all new papers.

  1. When, Where, and What to Correct: Human-Guided Adaptive Residual Correction for Robot Policies

    Oct 27, 2026Anukriti Singh, Maxime Caniot, Pratap Tokekar +1Robot Policy AdaptationResidual Policy Learning

  2. I-HITL: Inalienable Human-in-the-Loop

    Oct 26, 2026Samuel Breckenridge, Dani Vilardell, Wenhao Wang +2Human-in-the-Loop AIAI Agent Safety

  3. Dream to Assist: Intent-Conditioned World Models for Shared Vehicle Control

    Oct 26, 2026Jonathan DeCastro, Thomas Balch, Emily Sumner +9Shared AutonomyHuman-in-the-Loop AI

  4. Numina Fuse: Interactive Autoformalization in Lean 4

    Oct 24, 2026Justin Asher, Yichuan Cao, Ruichen Qiu +2AutoformalizationLLM Agent Harnesses

  5. RSI Arena: Towards Recursive Self-Improvement with Human Feedback

    Oct 24, 2026Yue Huang, Yanbo Wang, Lichi Li +15LLM Agent Self-ImprovementLLM Agent Training

  6. When Human Corrections Travel: Safety in Federated VLA Adaptation

    Oct 23, 2026Vigneshwaran Subbaraju, Obaidullah Zaland, Monowar BhuyanVLA Model AdaptationHuman-in-the-Loop AI

  7. COMET: A coordinated multi-layer runtime monitoring framework for human-supervised AI-enabled safety systems

    Oct 21, 2026Niclas Flehmig, Mary Ann Lundteigen, Shen YinAI SafetyAI Agent Monitoring

  8. Training in Deployment: Human-in-the-loop Online Post-Training for Robot Manipulation

    Oct 21, 2026Chun Gu, Xiaofei Wei, Yiming Chen +4Robot LearningHuman-in-the-Loop AI

  9. From Code Generator to Engineering Companion: A Plant-aware Agent for PLC Programming

    Oct 20, 2026Joschka Kersting, Gesa BenndorfCoding AgentsCode Generation

  10. Hierarchical Residual Policy Learning for Real-World Mobile Manipulation with Sparse Human Guidance

    Oct 14, 2026Zhefei Gong, Hefeifei Jiang, Zehao Wang +1Mobile ManipulationRobotic RL

  11. LabCompiler: A Framework for Verifiable Human-Machine Laboratory Execution from Imperfect Protocols

    Oct 14, 2026Jingyuan Li, Dongzhan Zhou, Minting Pan +10Laboratory AutomationHuman-in-the-Loop AI

  12. REPORT-OPS: Hybrid Evidence-Guided Reporting with Human-Supervised Refinement for HPC

    Oct 13, 2026Mah Kadidia Konate, Mayur Akewar, Janki Bhimani +1Evidence-Grounded GenerationAI Agent Reliability

  13. Comparing GenAI to Machine Learning and Manual Review for eDiscovery

    Oct 12, 2026Gordon V. Cormack, Maura R. GrossmanGenerative AI EvaluationLegal IR

  14. Rethinking Opinion Measurement Interfaces for Human-in-the-Loop Optimization

    Oct 10, 2026Changkun Ou, Sven Mayer, Daniel Buschek +1Human-in-the-Loop AIPreference Elicitation

  15. Leveraging Human-In-The-Loop Demonstrations in Reinforcement Learning for Digital Twin-Driven Robot Flexibility

    Oct 8, 2026Yuzhu Sun, Mien Van, Nguyen Minh Nhat +2Robotic RLHuman-in-the-Loop AI

  16. Careful Judge: Safe and Efficient Human-AI Collaborative Decision Making

    Oct 6, 2026Chenyu Zhang, Rachel Luo, Boyi Li +3Human-AI Decision MakingHuman-in-the-Loop AI

  17. Humanize: Judgement Engineering for Agentic Coding

    Oct 6, 2026Sihao Liu, Ligeng Zhu, Zijian Zhang +6Multi-Agent CodingLLM Agent Orchestration

  18. An AI-Assisted Formalization of the Poincaré Conjecture

    Oct 6, 2026Zhiyuan Zhang, Axel Delaval, Leheng Chen +6Human-AI CollaborationHuman-in-the-Loop AI

  19. Human-in-the-Loop Neuro-Symbolic Drift Anticipation for Reliable Visual SLAM

    Oct 5, 2026Junhyun Nam, Wonse JoSimultaneous Localization and MappingHuman-in-the-Loop AI

  20. Answering clinicians' questions over trial evidence tables with verifiable, feedback-driven language models

    Oct 1, 2026Manan Roy Choudhury, Suparno Roy Chowdhury, Swastik Sahoo +5Clinical QATable QA

  21. SPHERE: Adaptive VR Indoor Scene Generation via LLM-Enhanced Spatial Preference Learning and Human-in-the-Loop RL

    Oct 1, 2026Hyeonmin Lee, Zheng Wei, Kyungmin Kwon +3Human-in-the-Loop AI3D Scene Generation

  22. Recova: Agent-Guided Failure Recovery for Autonomous Robotic Manipulation

    Oct 1, 2026Isabella Liu, An-Chieh Cheng, Johan Bjorck +6Robot Failure RecoveryHuman-in-the-Loop AI

  23. Community-Driven API and AI Writer Design for Openly Scaling Community Notes

    Sep 30, 2026Brad Miller, Jay Baxter, Jiansong Chao +3Human-in-the-Loop AIAutomated Fact-Checking