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DAIL: Data Augmentation for In-Context Learning via Self-Paraphrase., , , , , , , and . CoRR, (2023)Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation., , and . CoRR, (2022)ZEROTOP: Zero-Shot Task-Oriented Semantic Parsing using Large Language Models., , and . CoRR, (2022)Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data., , and . EMNLP (1), page 583-594. Association for Computational Linguistics, (2021)LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification., , and . EMNLP (Findings), page 4894-4908. Association for Computational Linguistics, (2022)Text classification with sparse composite document vectors., , and . CoRR, (2016)TOOLVERIFIER: Generalization to New Tools via Self-Verification., , , , , , and . CoRR, (2024)User bias removal in review score prediction., , , and . COMAD/CODS, page 175-179. ACM, (2018)MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization., , , and . CoRR, (2024)Smaller Language Models are capable of selecting Instruction-Tuning Training Data for Larger Language Models., , and . CoRR, (2024)