---
title: "Andrew M. Dai — papers"
description: "Andrew M. Dai: 4 papers in the Elamur Research library (2016–2023) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/andrew-m-dai/"
---
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# Andrew M. Dai

4 papers on this site (2016–2023)

[OpenAlex](https://openalex.org/A5101597225) · [ORCID](https://orcid.org/0009-0007-9200-8577) · h-index 25 · 44 works · 11152 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Gemini: A Family of Highly Capable Multimodal Models](https://md.research.elamur.ai/free/en/papers/gemini-2023-team-gemini-family-highly-capable-multimodal/) — Gemini Team, Rohan Anil, Sebastian Borgeaud, et al. · 2023
- [PaLM 2 Technical Report](https://md.research.elamur.ai/free/en/papers/anil-2023-palm-2-technical-report/) — Rohan Anil, Andrew M. Dai, Orhan Firat, et al. · 2023
- [GLaM: Efficient Scaling of Language Models with Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/du-2021-glam-efficient-scaling-language-models/) — Nan Du, Yanping Huang, Andrew M. Dai, et al. · 2021
- [Adversarial Training Methods for Semi-Supervised Text Classification](https://md.research.elamur.ai/free/en/papers/miyato-2016-adversarial-training-methods-semi-supervised/) — Takeru Miyato, Andrew M. Dai, Ian Goodfellow · 2016