LaMDA: Language Models for Dialog Applications
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- Authors credited
- Adam Roberts · Daniel De Freitas · Dehao Chen · Maarten Bosma · Noam Shazeer · Quoc Le · Yanping Huang · Zhifeng Chen
- Dates
- Exact source
- LaMDA: Language Models for Dialog Applications arXiv · published 2022-01-20 · arXiv abstract page, retrieved for the candidate pack on 2026-10-28 (SHA-256 78fc087ea96b614b5748c5897982e67a476b02c76ea2fe6b5a510d5774e8d452). Submission history as arXiv records it (UTC): v1 20 January 2022; v2 21 January 2022; v3 10 February 2022. The page serves the latest version; each version is a separate expression, and only the one a record names was read.
- LaMDA: Language Models for Dialog Applications arXiv · published 2022-01-20 · arXiv:2201.08239v1, submitted 20 January 2022 (UTC). Retrieved for the candidate pack on 2026-10-28 (SHA-256 fc3f1d660ad67cd1e4890e1698d3d5438b2adb375d27c8aac71274f8a8424c55). The author list is the byline as printed on the first page.
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Issue and authorship records
- Author: Adam RobertsAdam Roberts is a credited author of LaMDA: Language Models for Dialog Applications.2022-01-20 · publication · Stated in source · Supported Inspect claim & evidence ↗Adam Roberts: person page →
- Author: Daniel De FreitasDaniel De Freitas is a credited author of LaMDA: Language Models for Dialog Applications.2022-01-20 · publication · Stated in source · Supported Inspect claim & evidence ↗Daniel De Freitas: person page →
- Author: Dehao ChenDehao Chen is a credited author of LaMDA: Language Models for Dialog Applications.2022-01-20 · publication · Stated in source · Supported Inspect claim & evidence ↗Dehao Chen: person page →
- Author: Maarten BosmaMaarten Bosma is a credited author of LaMDA: Language Models for Dialog Applications.2022-01-20 · publication · Stated in source · Supported Inspect claim & evidence ↗Maarten Bosma: person page →
- Author: Noam ShazeerNoam Shazeer is a credited author of LaMDA: Language Models for Dialog Applications.2022-01-20 · publication · Stated in source · Supported Inspect claim & evidence ↗Noam Shazeer: person page →
- Author: Quoc LeQuoc Le is a credited author of LaMDA: Language Models for Dialog Applications.2022-01-20 · publication · Stated in source · Supported Inspect claim & evidence ↗Quoc Le: person page →
- Author: Yanping HuangYanping Huang is a credited author of LaMDA: Language Models for Dialog Applications.2022-01-20 · publication · Stated in source · Supported Inspect claim & evidence ↗Yanping Huang: person page →
- Author: Zhifeng ChenZhifeng Chen is a credited author of LaMDA: Language Models for Dialog Applications.2022-01-20 · publication · Stated in source · Supported Inspect claim & evidence ↗Zhifeng Chen: person page →
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Cited by · 5
Recorded documents that explicitly reference this one. A citation to a work does not identify which version was read.
- Training language models to follow instructions with human feedbackTraining language models to follow instructions with human feedback cites LaMDA: Language Models for Dialog Applications.2022-03-04 · publication · Stated in source · Supported Inspect claim & evidence ↗Training language models to follow instructions with human feedback: document page →
- Training Compute-Optimal Large Language ModelsTraining Compute-Optimal Large Language Models cites LaMDA: Language Models for Dialog Applications.2022-03-29 · publication · Stated in source · Supported Inspect claim & evidence ↗Training Compute-Optimal Large Language Models: document page →
- LLaMA (2023 paper)LLaMA (2023 paper) cites LaMDA: Language Models for Dialog Applications.2023-02-27 · publication · Stated in source · Supported Inspect claim & evidence ↗LLaMA (2023 paper): document page →
- GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language ModelsGPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models cites LaMDA: Language Models for Dialog Applications.2023-03-17 · publication · Stated in source · Supported Inspect claim & evidence ↗Eloundou et al., GPTs are GPTs (2023): document page →
- Qwen Technical ReportQwen Technical Report cites LaMDA: Language Models for Dialog Applications.2023-09-28 · publication · Stated in source · Supported Inspect claim & evidence ↗Qwen Technical Report: document page →
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What the document says it adds
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- In its own wordsThe paper presents LaMDA (Language Models for Dialog Applications).“We present LaMDA: Language Models for Dialog Applications.” arXiv v1, PDF p. 1, abstract2022-01-20 · publication · Stated in source · Supported Inspect claim & evidence ↗
- In its own wordsThe paper describes LaMDA as a family of Transformer-based language models specialised for dialog, with up to 137B parameters, pre-trained on 1.56T words of public dialog data and web text.“LaMDA is a family of Transformerbased neural language models specialized for dialog, which have up to 137B parameters and are pre-trained on 1.56T words of public dialog data and web text.” arXiv v1, PDF p. 1, abstract2022-01-20 · publication · Stated in source · Supported Inspect claim & evidence ↗