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Guangtao Zeng

Guangtao Zeng has 2 papers in our library, in 2020–2024, most of them on Language models & pretraining, Dialogue systems; often with Jiaqi Zeng, Peiyuan Zhang, Ruoyu Zhang.

2 papers in our library · 2020–2024

OpenAlex · h-index 7 · 25 works · 328 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 524 times in our library · 6 more in our library without a page yet · ⭐ Paper Stars ranking: #3067

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Singapore University of Technology and DesignSingapore · Singapore2022–2026 · 10 paperscurrent🎓Massachusetts Institute of TechnologyCambridge · United States2026 · 1 papercurrent🎓University of California San DiegoSan Diego · United States2020–2021 · 5 papers🎓University of California, DavisDavis · United States2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workMathematics · 1 workHealth Informatics · 1 workMedicine · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workDialogue systems · 1 work

 Works by year

2020s

20241 paperTinyLlama: An Open-Source Small Language Model20201 paperMedDialog: Large-scale Medical Dialogue Datasets

 Papers

The most cited first (OpenAlex and our library).

  1. TinyLlama: An Open-Source Small Language Model (2024 · 351 citations)
    Scaling laws such as Chinchilla's say parameters and data should grow together. For deployment, though, inference cost matters more, and it was unclear how well a small model does when trained on far more data than those laws recommend. The authors test this with TinyLlama, a 1.1B-parameter decoder-only Transformer…
  2. MedDialog: Large-scale Medical Dialogue Datasets (2020 · 247 citations)
    Building medical dialogue systems that could act as "virtual doctors" in telemedicine requires many real patient–doctor conversations.

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. TinyLlama: An Open-Source Small Language ModelarXiv:2401.02385Peiyuan Zhang, Guangtao Zeng, Tianduo Wang, et al.2024 · 351 citations
  2. MedDialog: Large-scale Medical Dialogue DatasetsConference on Empirical Methods in Natural Language Processing (EMNLP)Guangtao Zeng, Wenmian Yang, Zeqian Ju, et al.2020 · 247 citations
  3. Long Context Transfer from Language to VisionarXiv:2406.16852 · original ↗ · no summary yetPeiyuan Zhang et al.2024 · 67 citations
  4. RegMix: Data Mixture as Regression for Language Model Pre-trainingarXiv:2407.01492 · original ↗ · no summary yetQian Liu et al.2024 · 50 citations
  5. Sailor: Open Language Models for South-East AsiaarXiv:2404.03608 · original ↗ · no summary yetLongxu Dou et al.2024 · 27 citations
  6. Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive SearcharXiv:2502.02508 · original ↗ · no summary yetMaohao Shen et al.2025 · 13 citations
  7. EffiCoder: Enhancing Code Generation in Large Language Models through Efficiency-Aware Fine-tuningarXiv:2410.10209 · original ↗ · no summary yetDong Huang et al.2024 · 11 citations
  8. Tailored Primitive Initialization is the Secret Key to Reinforcement LearningProceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · original ↗ · no summary yetYihang Yao et al.2026

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 524 times (of the 141,840 papers whose bibliographies we read); 26 citing papers with a page here →.

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