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IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models.

, , , , , , and . CoRR, (2023)

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Adversarial Attacks on Combinatorial Multi-Armed Bandits., , , , , and . CoRR, (2023)When and Whom to Collaborate with in a Changing Environment: A Collaborative Dynamic Bandit Solution., , and . SIGIR, page 1410-1419. ACM, (2021)Variance Reduction in Gradient Exploration for Online Learning to Rank., , , , and . SIGIR, page 835-844. ACM, (2019)Learning by Exploration: New Challenges in Real-World Environments., , and . KDD, page 3575-3576. ACM, (2020)IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models., , , , , , and . ICLR, OpenReview.net, (2024)Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints., , , , , and . ICML, OpenReview.net, (2024)Automated Machine Learning & Tuning with FLAML., , , and . KDD, page 4828-4829. ACM, (2022)IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models., , , , , , and . CoRR, (2023)Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems., , , , , , and . CoRR, (2020)Economic Hyperparameter Optimization with Blended Search Strategy., , , and . ICLR, OpenReview.net, (2021)