What is recorded here?
Pre-trained a language model with a latent document retriever whose retrieval decisions receive a masked-language-model learning signal.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
REALM is retrieval-augmented pre-training; distinct from the later RAG generation paper already in the formal catalogue.
Read the original work
- Guu and colleagues: REALM retrieval-augmented pre-training — original paper
- Guu and colleagues: REALM retrieval-augmented pre-training — official company source
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Kelvin Guu; Kenton Lee; Zora Tung; Panupong Pasupat; Ming-Wei Chang
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.
Research locations and affiliations
Location not yet established
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English catalogue narrative
Guu and colleagues: REALM retrieval-augmented pre-training
Pre-trained a language model with a latent document retriever whose retrieval decisions receive a masked-language-model learning signal.
Scientific scope
REALM is retrieval-augmented pre-training; distinct from the later RAG generation paper already in the formal catalogue.
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
Kelvin Guu; Kenton Lee; Zora Tung; Panupong Pasupat; Ming-Wei Chang
Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.