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DocPrompting: Generating Code by Retrieving the Docs.

, , , , и . ICLR, OpenReview.net, (2023)

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Qiu Jiang

Ping Jiang

Xin Jiang

Kaiyun Jiang

Jiang Yi

 

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Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing., , , , , и . CoRR, (2021)Graph-Revised Convolutional Network., , , , и . ECML/PKDD (3), том 12459 из Lecture Notes in Computer Science, стр. 378-393. Springer, (2020)Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer., , , , , , и . EMNLP, стр. 2336-2349. Association for Computational Linguistics, (2022)Generalizing Natural Language Analysis through Span-relation Representations., , , и . ACL, стр. 2120-2133. Association for Computational Linguistics, (2020)Learning to Filter Context for Retrieval-Augmented Generation., , , , и . CoRR, (2023)DocCoder: Generating Code by Retrieving and Reading Docs., , , , и . CoRR, (2022)GPTScore: Evaluate as You Desire., , , и . CoRR, (2023)Improving Open Information Extraction via Iterative Rank-Aware Learning., , и . ACL (1), стр. 5295-5300. Association for Computational Linguistics, (2019)Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering., , , и . COLING, стр. 1765-1775. International Committee on Computational Linguistics, (2022)How Can We Know When Language Models Know?, , , и . CoRR, (2020)