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Citations
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Computer Science

D-Index
53
Citations
15633
World Ranking
4723
National Ranking
2195

Yi Tay publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Yi Tay sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 135 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Yi Tay D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Yi Tay sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 53 D-Index — 67th percentile

67% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Yi Tay is a researcher affiliated with Google in the United States, specializing in the field of computer science with a primary focus on artificial intelligence. Their research encompasses several subfields including computer vision and pattern recognition, information systems, electrical and electronic engineering, and signal processing.

The scientist's work spans numerous topics such as topic modeling, natural language processing techniques, multimodal machine learning applications, domain adaptation and few-shot learning, advanced neural network applications, speech recognition and synthesis, and text readability and simplification.

Yi Tay has published extensively, with a significant number of papers appearing in venues such as arXiv (Cornell University), the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), the Journal of Informatics and Web Engineering, ANZ Journal of Surgery, and ACM Computing Surveys.

Notable recent publications include:

  • PaLM: Scaling Language Modeling with Pathways (2022), arXiv (Cornell University)
  • Scaling Instruction-Finetuned Language Models (2022), arXiv (Cornell University)
  • Emergent Abilities of Large Language Models (2022), arXiv (Cornell University)
  • Efficient Transformers: A Survey (2022), ACM Computing Surveys
  • Efficient Transformers: A Survey (2020), arXiv (Cornell University)

Their collaboration network includes frequent co-authors, with the most notable being Donald Metzler, Dara Bahri, Mostafa Dehghani, Hyung Won Chung, and Vinh Q. Tran.

Best Publications

  • Scaling Instruction-Finetuned Language Models

    Unknown

  • Deep Learning Based Recommender System: A Survey and New Perspectives

    Shuai Zhang;Lina Yao;Aixin Sun;Yi Tay

  • Emergent Abilities of Large Language Models

    Unknown

  • Efficient Transformers: A Survey

    Yi Tay;Mostafa Dehghani;Dara Bahri;Donald Metzler

  • The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

    Unknown

  • Quaternion Knowledge Graph Embeddings

    Shuai Zhang;Yi Tay;Lina Yao;Qi Liu

  • Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

    Unknown

  • Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

    Yi Tay;Luu Anh Tuan;Siu Cheung Hui

  • Multi-Pointer Co-Attention Networks for Recommendation

    Yi Tay;Anh Tuan Luu;Siu Cheung Hui

  • Multi-Pointer Co-Attention Networks for Recommendation.

    Yi Tay;Luu Anh Tuan;Siu Cheung Hui

  • Long Range Arena : A Benchmark for Efficient Transformers

    Yi Tay;Mostafa Dehghani;Samira Abnar;Yikang Shen

  • Synthesizer: Rethinking Self-Attention in Transformer Models

    Yi Tay;Dara Bahri;Donald Metzler;Da-Cheng Juan

  • Larger language models do in-context learning differently

    Unknown

  • Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking

    Yi Tay;Anh Tuan Luu;Siu Cheung Hui

  • Learning to Attend via Word-Aspect Associative Fusion for Aspect-Based Sentiment Analysis

    Yi Tay;Luu Anh Tuan;Siu Cheung Hui

  • Reasoning with Sarcasm by Reading In-Between

    Yi Tay;Anh Tuan Luu;Siu Cheung Hui;Jian Su

  • A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

    Unknown

  • Language Models are Multilingual Chain-of-Thought Reasoners

    Unknown

  • SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring

    Yi Tay;Minh C. Phan;Luu Anh Tuan;Siu Cheung Hui

  • Sparse Sinkhorn Attention

    Yi Tay;Dara Bahri;Liu Yang;Donald Metzler

  • Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference

    Yi Tay;Anh Tuan Luu;Siu Cheung Hui

  • Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture

    Yi Tay;Minh C. Phan;Luu Anh Tuan;Siu Cheung Hui

  • Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering

    Yi Tay;Luu Anh Tuan;Siu Cheung Hui

  • HyperML: A Boosting Metric Learning Approach in Hyperbolic Space for Recommender Systems

    Lucas Vinh Tran;Yi Tay;Shuai Zhang;Gao Cong

  • Dyadic Memory Networks for Aspect-based Sentiment Analysis

    Yi Tay;Luu Anh Tuan;Siu Cheung Hui

  • Next Item Recommendation with Self-Attention

    Shuai Zhang;Yi Tay;Lina Yao;Aixin Sun

  • Translational Recommender Networks.

    Yi Tay;Anh Tuan Luu;Siu Cheung Hui

Frequent Co-Authors

Siu Cheung Hui
Siu Cheung Hui Nanyang Technological University
Donald Metzler
Donald Metzler Google (United States)
Lina Yao
Lina Yao Commonwealth Scientific and Industrial Research Organisation
Aixin Sun
Aixin Sun Nanyang Technological University
Shuohang Wang
Shuohang Wang Microsoft (United States)
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Andrew Tomkins
Andrew Tomkins Google (United States)
Jian Su
Jian Su Institute for Infocomm Research
Gao Cong
Gao Cong Nanyang Technological University
Marc Najork
Marc Najork Google (United States)

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