{"total":39,"rows":[{"id":"2302.02187","title":"Appropriate Reliance on AI Advice: Conceptualization and the Effect of Explanations","created":"2023-02-04","cited_by_count":83,"area":null},{"id":"2210.16955","title":"Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles","created":"2022-10-30","cited_by_count":60,"area":null},{"id":"2310.14774","title":"Principled Approaches for Learning to Defer with Multiple Experts","created":"2023-10-23","cited_by_count":38,"area":null},{"id":"2404.00029","title":"Complementarity in Human-AI Collaboration: Concept, Sources, and Evidence","created":"2024-03-21","cited_by_count":35,"area":null},{"id":"2303.09224","title":"Human-AI Collaboration: The Effect of AI Delegation on Human Task Performance and Task Satisfaction","created":"2023-03-16","cited_by_count":32,"area":null},{"id":"2403.19494","title":"Regression with Multi-Expert Deferral","created":"2024-03-28","cited_by_count":29,"area":null},{"id":"2403.02683","title":"Learning to Defer to a Population: A Meta-Learning Approach","created":"2024-03-05","cited_by_count":27,"area":null},{"id":"2407.19098","title":"Evaluating Human-AI Collaboration: A Review and Methodological Framework","created":"2024-07-09","cited_by_count":27,"area":null},{"id":"2407.13732","title":"Realizable $H$-Consistent and Bayes-Consistent Loss Functions for Learning to Defer","created":"2024-07-18","cited_by_count":26,"area":null},{"id":"2304.07306","title":"Learning to Defer with Limited Expert Predictions","created":"2023-04-14","cited_by_count":25,"area":null},{"id":"2410.15729","title":"A Two-Stage Learning-to-Defer Approach for Multi-Task Learning","created":"2024-10-21","cited_by_count":17,"area":null},{"id":"2506.20650","title":"Mastering Multiple-Expert Routing: Realizable $H$-Consistency and Strong Guarantees for Learning to Defer","created":"2025-06-25","cited_by_count":16,"area":null},{"id":"2304.06701","title":"Learning Personalized Decision Support Policies","created":"2023-04-13","cited_by_count":14,"area":null},{"id":"2510.26706","title":"Budgeted Multiple-Expert Deferral","created":"2025-10-30","cited_by_count":13,"area":null},{"id":"2403.06906","title":"Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints","created":"2024-03-11","cited_by_count":12,"area":null},{"id":"2304.08804","title":"AI Reliance and Decision Quality: Fundamentals, Interdependence, and the Effects of Interventions","created":"2023-04-18","cited_by_count":9,"area":null},{"id":"2402.06287","title":"AI, Meet Human: Learning Paradigms for Hybrid Decision Making Systems","created":"2024-02-09","cited_by_count":7,"area":null},{"id":"2407.07003","title":"Learning to Complement and to Defer to Multiple Users","created":"2024-07-09","cited_by_count":7,"area":null},{"id":"2503.13577","title":"When Should We Orchestrate Multiple Agents?","created":"2025-03-17","cited_by_count":7,"area":null},{"id":"2504.12988","title":"Why Ask One When You Can Ask $k$? Learning-to-Defer to the Top-$k$ Experts","created":"2025-04-17","cited_by_count":7,"area":null},{"id":"2311.13172","title":"Learning to Complement with Multiple Humans","created":"2023-11-22","cited_by_count":5,"area":null},{"id":"2401.04729","title":"Human Delegation Behavior in Human-AI Collaboration: The Effect of Contextual Information","created":"2024-01-09","cited_by_count":5,"area":null},{"id":"2510.10988","title":"Adversarial Robustness in One-Stage Learning-to-Defer","created":"2025-10-13","cited_by_count":5,"area":null},{"id":"2308.11721","title":"When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-making","created":"2023-08-22","cited_by_count":4,"area":null},{"id":"2312.13218","title":"FiFAR: A Fraud Detection Dataset for Learning to Defer","created":"2023-12-20","cited_by_count":3,"area":null},{"id":"2603.14324","title":"Consistent Learning-to-Defer with Expert-Conditional Advice","created":"2026-03-15","cited_by_count":3,"area":null},{"id":"2501.13810","title":"Learning to Help in Multi-Class Settings","created":"2025-01-23","cited_by_count":2,"area":null},{"id":"2508.06997","title":"Conformal Set-based Human-AI Complementarity with Multiple Experts","created":"2025-08-09","cited_by_count":2,"area":null},{"id":"2509.12573","title":"No Need for Learning to Defer? A Training Free Deferral Framework to Multiple Experts through Conformal Prediction","created":"2025-09-16","cited_by_count":2,"area":null},{"id":"2409.02046","title":"Human-AI Collaborative Multi-modal Multi-rater Learning for Endometriosis Diagnosis","created":"2024-09-03","cited_by_count":1,"area":null},{"id":"2506.05636","title":"Bayesian Inference for Correlated Human Experts and Classifiers","created":"2025-06-05","cited_by_count":1,"area":null},{"id":"2605.12340","title":"Online Learning-to-Defer with Varying Experts","created":"2026-05-12","cited_by_count":1,"area":null},{"id":"2305.19864","title":"Designing Closed-Loop Models for Task Allocation","created":"2023-05-31","cited_by_count":0,"area":null},{"id":"2508.02319","title":"Is Uncertainty Quantification a Viable Alternative to Learned Deferral?","created":"2025-08-04","cited_by_count":0,"area":null},{"id":"2510.19351","title":"Learning To Defer To A Population With Limited Demonstrations","created":"2025-10-22","cited_by_count":0,"area":null},{"id":"2605.08024","title":"MPD$^2$-Router: Mask-aware Multi-expert Prior-regularized Dual-head Deferral Router in Glaucoma Screening and Diagnosis","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2605.08388","title":"PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2606.04779","title":"Tree-Based Formalization of Multi-Agent Complementarity in Human-AI Interactions","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.10906","title":"Human-AI Teaming Through the Lens of Calibration","created":"2026-06-09","cited_by_count":0,"area":null}],"next_cursor":null}