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EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training., , , , , , , , , and 1 other author(s). Mach. Intell. Res., 20 (2): 207-219 (April 2023)Knowledge Distillation of Large Language Models., , , and . CoRR, (2023)PPT: Pre-trained Prompt Tuning for Few-shot Learning., , , and . CoRR, (2021)Pre-Trained Models: Past, Present and Future., , , , , , , , , and 12 other author(s). CoRR, (2021)CPM-2: Large-scale cost-effective pre-trained language models., , , , , , , , , and 9 other author(s). AI Open, (2021)Pre-trained models: Past, present and future., , , , , , , , , and 14 other author(s). AI Open, (2021)CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark., , , , , , , , , and 25 other author(s). CoRR, (2021)Towards Optimal Learning of Language Models., , , , , and . CoRR, (2024)Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization., , , and . EMNLP, page 1617-1634. Association for Computational Linguistics, (2022)Train No Evil: Selective Masking for Task-Guided Pre-Training., , , , and . EMNLP (1), page 6966-6974. Association for Computational Linguistics, (2020)