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Demystifying Prompts in Language Models via Perplexity Estimation.

, , , , and . EMNLP (Findings), page 10136-10148. Association for Computational Linguistics, (2023)

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Generalization through Memorization: Nearest Neighbor Language Models., , , , and . ICLR, OpenReview.net, (2020)The case for 4-bit precision: k-bit Inference Scaling Laws, and . (2022)cite arxiv:2212.09720.QLoRA: Efficient Finetuning of Quantized LLMs, , , and . (2023)cite arxiv:2305.14314Comment: Extended NeurIPS submission.Efficient Large Scale Language Modeling with Mixtures of Experts, , , , , , , , , and 14 other author(s). (2021)cite arxiv:2112.10684Comment: EMNLP 2022.Detecting Pretraining Data from Large Language Models., , , , , , , and . CoRR, (2023)Reliable, Adaptable, and Attributable Language Models with Retrieval., , , , , , and . CoRR, (2024)Higher-Order Coreference Resolution with Coarse-to-Fine Inference., , and . NAACL-HLT (2), page 687-692. Association for Computational Linguistics, (2018)MetaICL: Learning to Learn In Context., , , and . NAACL-HLT, page 2791-2809. Association for Computational Linguistics, (2022)Iterative Search for Weakly Supervised Semantic Parsing., , , , and . NAACL-HLT (1), page 2669-2680. Association for Computational Linguistics, (2019)ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks., , , , , , , and . CVPR, page 10737-10746. Computer Vision Foundation / IEEE, (2020)