What is recorded here?
Used a shared Transformer with different attention masks to train unidirectional, bidirectional and sequence-to-sequence language objectives, enabling both understanding and generation.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Combines inherited Transformer and language-modeling objectives through a shared masking scheme. Original method only; later UniLM2/UniLMv2 or unrelated models in the umbrella repository are not included.
Read the original work
- Unified Language Model Pre-training for Natural Language Understanding and Generation
- Dong et al.: UniLM shared attention-mask language pretraining — official implementation
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People and systems
Li Dong; Nan Yang; Wenhui Wang; Furu Wei; Xiaodong Liu; Yu Wang; Jianfeng Gao; Ming Zhou; Hsiao-Wuen Hon
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Dong et al.: UniLM shared attention-mask language pretraining
Used a shared Transformer with different attention masks to train unidirectional, bidirectional and sequence-to-sequence language objectives, enabling both understanding and generation.
Scientific scope
Combines inherited Transformer and language-modeling objectives through a shared masking scheme. Original method only; later UniLM2/UniLMv2 or unrelated models in the umbrella repository are not included.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Li Dong; Nan Yang; Wenhui Wang; Furu Wei; Xiaodong Liu; Yu Wang; Jianfeng Gao; Ming Zhou; Hsiao-Wuen Hon
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.