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A Survey for In-context Learning., , , , , , , , , and . CoRR, (2023)Problems and Countermeasures in Natural Language Processing Evaluation., , , and . CoRR, (2021)Statistical Knowledge Assessment for Large Language Models., , , , and . NeurIPS, (2023)Statistical Dataset Evaluation: Reliability, Difficulty, and Validity., , , , and . CoRR, (2022)Can Language Models Understand Physical Concepts?, , , , , , and . EMNLP, page 11843-11861. Association for Computational Linguistics, (2023)ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation., , and . EACL, page 424-434. Association for Computational Linguistics, (2021)Calibrating Factual Knowledge in Pretrained Language Models., , , , , and . EMNLP (Findings), page 5937-5947. Association for Computational Linguistics, (2022)Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding., , , , , , , , and . CoRR, (2024)Go-tuning: Improving Zero-shot Learning Abilities of Smaller Language Models., , , and . CoRR, (2022)Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances., , , , , , and . IJCAI, page 4397-4403. ijcai.org, (2022)