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Pretrained Language Models for Text Generation: A Survey., , , and . CoRR, (2021)Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment., , , , and . CoRR, (2023)TextBox: A Unified, Modularized, and Extensible Framework for Text Generation., , , , , , , and . CoRR, (2021)A Survey of Pretrained Language Models Based Text Generation., , , , and . CoRR, (2022)Context-Tuning: Learning Contextualized Prompts for Natural Language Generation., , , and . COLING, page 6340-6354. International Committee on Computational Linguistics, (2022)Zero-shot Visual Question Answering with Language Model Feedback., , , , and . ACL (Findings), page 9268-9281. Association for Computational Linguistics, (2023)The Web Can Be Your Oyster for Improving Language Models., , , , , and . ACL (Findings), page 728-746. Association for Computational Linguistics, (2023)Towards Coarse-to-Fine Evaluation of Inference Efficiency for Large Language Models., , , , , , , and . CoRR, (2024)ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models., , , , , , , , and . CoRR, (2022)Not All Metrics Are Guilty: Improving NLG Evaluation with LLM Paraphrasing., , , , , , and . CoRR, (2023)