Methods › Natural Language Processing › Language Models › ProphetNet
ProphetNet
Introduced by Weizhen Qi et al. in ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
ProphetNet is a sequence-to-sequence pre-training model that introduces a novel self-supervised objective named future n-gram prediction and the proposed n-stream self-attention mechanism. Instead of optimizing one-step-ahead prediction in the traditional sequence-to-sequence model, the ProphetNet is optimized by n-step ahead prediction that predicts the next n tokens simultaneously based on previous context tokens at each time step. The future n-gram prediction explicitly encourages the model to plan for the future tokens and further help predict multiple future tokens.
Papers archive 2025-07-28
11 shown of 11, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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SATS: simplification aware text summarization of scientific documents 10 Jul 2024 · 0 repositories
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Evaluating Text Summaries Generated by Large Language Models Using OpenAI's GPT 7 May 2024 · 0 repositories · arXiv:2405.04053
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Analysis of Multidomain Abstractive Summarization Using Salience Allocation 19 Feb 2024 · 0 repositories · arXiv:2402.11955
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Predicting Temperature of Major Cities Using Machine Learning and Deep Learning 23 Sep 2023 · 0 repositories · arXiv:2309.13330
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Enhancing Pre-trained Models with Text Structure Knowledge for Question Generation 9 Sep 2022 · 0 repositories · arXiv:2209.04179
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ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation 16 Apr 2021 · 3 repositories · arXiv:2104.08006
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A Survey of Recent Abstract Summarization Techniques 15 Apr 2021 · 0 repositories · arXiv:2105.00824
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GLGE: A New General Language Generation Evaluation Benchmark 24 Nov 2020 · 1 repository · arXiv:2011.11928
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ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-training 1 Nov 2020 · 3 repositories
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Topic-Guided Abstractive Text Summarization: a Joint Learning Approach 20 Oct 2020 · 1 repository · arXiv:2010.10323
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ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training 13 Jan 2020 · 5 repositories · arXiv:2001.04063
Tasks archive 2025-07-28
18 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections