Methods › Natural Language Processing › Language Model Pre-Training › MPNet

MPNet

17 papers tagged archive 2025-07-28

Introduced by Kaitao Song et al. in MPNet: Masked and Permuted Pre-training for Language Understanding

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

MPNet is a pre-training method for language models that combines masked language modeling (MLM) and permuted language modeling (PLM) in one view. It takes the dependency among the predicted tokens into consideration through permuted language modeling and thus avoids the issue of BERT. On the other hand, it takes position information of all tokens as input to make the model see the position information of all the tokens and thus alleviates the position discrepancy of XLNet.

The training objective of MPNet is:

𝔼_(z∈𝒵ₙ) ∑ⁿ_(t=c+1)logP(x_(zₜ)|x_(z_(<t)), M_(z_(>c)); θ)

As can be seen, MPNet conditions on x_(z_(<t)) (the tokens preceding the current predicted token x_(zₜ)) rather than only the non-predicted tokens x_(z_(<=c)) in MLM; comparing with PLM, MPNet takes more information (i.e., the mask symbol [M] in position z_(>c)) as inputs. Although the objective seems simple, it is challenging to implement the model efficiently. For details, see the paper.

PaperSource

Papers archive 2025-07-28

17 shown of 17, 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.

Tasks archive 2025-07-28

20 shown of 38 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Sentence7
Language Modelling5
Articles4
Language Modeling4
Large Language Model3
Misinformation2
Recommendation Systems2
Word Embeddings2
Benchmarking1
Classification1
Collaborative Filtering1
Fact Checking1
Few-Shot Learning1
Graph Embedding1
Knowledge Graph Embedding1
Knowledge Graphs1
Marketing1
Masked Language Modeling1
Multi-modal Knowledge Graph1
Object1

Usage over time archive 2025-07-28

Papers per year tagged with MPNet: 2020 to 2025, peak 6 6 0 2020: 2 papers 2020 2021: 1 paper 2021 2022: 2 papers 2022 2023: 6 papers 2023 2024: 2 papers 2024 2025: 4 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (17 dated). Bars are counts, not a trend claim.

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

Language Model Pre-Training

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