{"total":18,"rows":[{"id":"2502.11767","title":"From Selection to Generation: A Survey of LLM-based Active Learning","created":"2025-02-17","cited_by_count":19,"area":null},{"id":"2506.17670","title":"Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution","created":"2025-06-21","cited_by_count":19,"area":null},{"id":"2410.13609","title":"All models are wrong, some are useful: Model Selection with Limited Labels","created":"2024-10-17","cited_by_count":8,"area":null},{"id":"2505.13355","title":"Survey: Multi-Armed Bandits Meet Large Language Models","created":"2025-05-19","cited_by_count":7,"area":null},{"id":"2404.01588","title":"Hallucination Diversity-Aware Active Learning for Text Summarization","created":"2024-04-02","cited_by_count":5,"area":null},{"id":"2412.00798","title":"Combinatorial Rising Bandits","created":"2024-12-01","cited_by_count":1,"area":null},{"id":"2505.16221","title":"LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead","created":"2025-05-22","cited_by_count":1,"area":null},{"id":"2601.12945","title":"A Component-Based Survey of Interactions between Large Language Models and Multi-Armed Bandits","created":"2026-01-19","cited_by_count":1,"area":null},{"id":"2605.24981","title":"Large Language Model Selection with Limited Annotations","created":"2026-05-24","cited_by_count":1,"area":null},{"id":"2609.05820","title":"Online Learning with LLM Experts from Limited Feedback","created":"2026-09-05","cited_by_count":1,"area":null},{"id":"2508.05844","title":"Online Budget Allocation with Censored Semi-Bandit Feedback","created":"2025-08-07","cited_by_count":0,"area":null},{"id":"2510.09418","title":"Large Language Model Selection with Limited Annotations","created":"2025-10-10","cited_by_count":0,"area":null},{"id":"2602.10727","title":"Rising Multi-Armed Bandits with Known Horizons","created":"2026-02-11","cited_by_count":0,"area":null},{"id":"2606.17489","title":"Online LLM Selection via Constrained Bandits with Time-Varying Demand","created":"2026-06-16","cited_by_count":0,"area":null},{"id":"2607.13546","title":"From Novice to Expert: Cost-Aware Bandits for Evolving Worker Performance in Crowdsensing","created":"2026-07-15","cited_by_count":0,"area":null},{"id":"2608.16461","title":"A Human-LLM Teaming Framework for Privacy Risk Analysis: An Illustration with CBDC-Based Welfare Schemes","created":"2026-08-17","cited_by_count":0,"area":null},{"id":"2609.01335","title":"Bandits in Prod: Hyperparameter Optimization at Inference Time","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2610.20514","title":"Bayesian Learning to Select Fair Classifiers","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}