---
title: "Kai Zou — author profile and papers — Elamur Research"
description: "Kai Zou, Guangdong Pharmaceutical University: 2 papers on Elamur Research (2019–2023), h-index 23 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/kai-zou/"
---
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# Kai Zou

Kai Zou has 2 papers in our library, in 2019–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Bin Liang](https://md.research.elamur.ai/free/en/authors/bin-liang/), [Jason Wei](https://md.research.elamur.ai/free/en/authors/jason-wei/), [Zheng Yuan](https://md.research.elamur.ai/free/en/authors/zheng-yuan/).

2 papers in our library · 2019–2023

[OpenAlex](https://openalex.org/A5108385543) · [ORCID](https://orcid.org/0000-0003-3884-0438) · [**h-index 23**](https://openalex.org/authors/A5108385543) · [120 works](https://openalex.org/works?filter=author.id:A5108385543) · [1,768 citations](https://openalex.org/works?filter=author.id:A5108385543&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kai-zou/#papers) · [🔗 Cited 657 times in our library](https://md.research.elamur.ai/free/en/authors/kai-zou/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2465](https://md.research.elamur.ai/free/en/paper-stars/page/25/#star-2465)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Kai+Zou) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Kai+Zou) · [dblp](https://dblp.org/search?q=Kai+Zou) · [ACL Anthology](https://aclanthology.org/search/?q=Kai+Zou)

## Affiliations

[🎓**Guangdong Pharmaceutical University** Guangzhou · China 2023–2025 · 3 papers*current*](https://ror.org/02vg7mz57) · [🎓**Xiangtan University** Xiangtan · China 2012–2025 · 3 papers*current*](https://ror.org/00xsfaz62) · [🎓**Shanghai Dianji University** Shanghai · China 2025 · 1 paper*current*](https://ror.org/055fene14) · [🎓**Tianjin University** Tianjin · China 2018–2024 · 42 papers](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2004–2024 · 22 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Shanghai Institute of Ceramics** Shanghai · China 2022–2024 · 13 papers](https://ror.org/05etnz140) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2022–2024 · 9 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🔬**Technical Institute of Physics and Chemistry** Beijing · China 2004–2007 · 8 papers](https://ror.org/04akaak77) · [🎓**Northwestern Polytechnical University** Xi'an · China 2020–2022 · 4 papers](https://md.research.elamur.ai/free/en/universities/northwestern-polytechnical-university/) · [🎓**Shanghai University** Shanghai · China 2021–2022 · 4 papers](https://md.research.elamur.ai/free/en/universities/shanghai-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 18 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/)

## Works by year

### 2020s

[**2023** 1 paper Kai Zou's papers of 2023](https://md.research.elamur.ai/free/en/papers/sottana-2023-evaluation-metrics-era-gpt-4/)

### 2010s

[**2019** 1 paper Kai Zou's papers of 2019](https://md.research.elamur.ai/free/en/papers/wei-2019-eda-easy-data-augmentation-techniques/)

## Papers

The most cited first (OpenAlex and our library).

1. **[EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks](https://md.research.elamur.ai/free/en/papers/wei-2019-eda-easy-data-augmentation-techniques/)** *(2019 · 755 citations)* Text classifiers trained on small datasets often perform poorly. NLP also lacks the cheap, general augmentation tricks that are standard in computer vision. Wei and Zou propose EDA, a set of four simple text edits applied to training sentences: synonym replacement using WordNet, random insertion of a synonym, random…
2. **[Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks](https://md.research.elamur.ai/free/en/papers/sottana-2023-evaluation-metrics-era-gpt-4/)** *(2023 · 89 citations)* The authors examine whether standard automatic metrics still judge modern generative LLMs fairly on sequence-to-sequence tasks.

## All works

3 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. [**EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks arXiv:1901.11196**Jason Wei, Kai Zou*2019 · 755 citations*](https://md.research.elamur.ai/free/en/papers/wei-2019-eda-easy-data-augmentation-techniques/)
2. **[Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks](https://md.research.elamur.ai/free/en/papers/sottana-2023-evaluation-metrics-era-gpt-4/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Andrea Sottana, Bin Liang, Kai Zou, et al.*2023 · 89 citations*
3. **[MathOdyssey: Benchmarking Mathematical Problem-Solving Skills in Large Language Models Using Odyssey Math Data ↗](https://arxiv.org/abs/2406.18321) arXiv:2406.18321 · no summary yet**Meng Fang et al.*2024 · 46 citations*

## Co-authors here

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

- [Bin Liang](https://md.research.elamur.ai/free/en/authors/bin-liang/)
- [Jason Wei](https://md.research.elamur.ai/free/en/authors/jason-wei/)
- [Zheng Yuan](https://md.research.elamur.ai/free/en/authors/zheng-yuan/)

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2023](https://md.research.elamur.ai/free/en/venues/emnlp/2023/)

## Cited by

Papers of our library cite their works 657 times (of the 141,840 papers whose bibliographies we read); [37 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kai-zou/cited-by/).

Updated 24 October 2026
