---
title: "Yi Tay — papers of 2022 — 7 papers, the most cited first"
description: "Yi Tay — papers of 2022: 7 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/yi-tay/year/2022/"
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# Yi Tay — papers of 2022 — 7 papers, the most cited first

7 papers · [all years of Yi Tay](https://md.research.elamur.ai/free/en/authors/yi-tay/#years)

- [Emergent Abilities of Large Language Models arXiv:2206.07682](https://md.research.elamur.ai/free/en/papers/wei-2022-emergent-abilities-large-language-models/) — Jason Wei, Yi Tay, Rishi Bommasani, et al. · 2022 · 2,269 citations
- [Language Models are Multilingual Chain-of-Thought Reasoners arXiv:2210.03057](https://md.research.elamur.ai/free/en/papers/shi-2022-language-models-multilingual-chain-thought/) — Freda Shi, Mirac Suzgun, Markus Freitag, et al. · 2022 · 494 citations
- [UL2: Unifying Language Learning Paradigms arXiv:2205.05131](https://md.research.elamur.ai/free/en/papers/tay-2022-ul2-unifying-language-learning-paradigms/) — Yi Tay, Mostafa Dehghani, Vinh Q. Tran, et al. · 2022 · 347 citations

**[A New Generation of Perspective API: Efficient Multilingual Character-level Transformers](https://md.research.elamur.ai/free/en/papers/lees-2022-new-generation-perspective-api/) [ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)](https://md.research.elamur.ai/free/en/venues/acm-sigkdd-conference-on-knowledge-discovery-and-data-mining-kdd/)**Alyssa Lees, Vinh Q. Tran, Yi Tay, et al.*2022 · 238 citations*

**[Transformer Memory as a Differentiable Search Index](https://md.research.elamur.ai/free/en/papers/tay-2022-transformer-memory-differentiable-search-index/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yi Tay, Vinh Q. Tran, Mostafa Dehghani, et al.*2022 · 223 citations*

- [Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints arXiv:2212.05055](https://md.research.elamur.ai/free/en/papers/komatsuzaki-2022-sparse-upcycling-training-mixture-experts/) — Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, et al. · 2022 · 98 citations
- [Transcending Scaling Laws with 0.1% Extra Compute arXiv:2210.11399](https://md.research.elamur.ai/free/en/papers/tay-2022-transcending-scaling-laws-0-1/) — Yi Tay, Jason Wei, Hyung Won Chung, et al. · 2022 · 42 citations