---
title: "Zhen Li · Peking University — author profile and papers"
description: "Zhen Li, Peking University: 2 papers on Elamur Research (2021–2024), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/zhen-li/"
---
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# Zhen Li

Zhen Li has 2 papers in our library, in 2021–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Can Xu](https://md.research.elamur.ai/free/en/authors/can-xu/), [Chongyang Tao](https://md.research.elamur.ai/free/en/authors/chongyang-tao/), [Hieu Pham](https://md.research.elamur.ai/free/en/authors/hieu-pham/).

2 papers in our library · 2021–2024

[OpenAlex](https://openalex.org/A5004416967) · [ORCID](https://orcid.org/0009-0009-5120-9510) · [**h-index 3**](https://openalex.org/authors/A5004416967) · [5 works](https://openalex.org/works?filter=author.id:A5004416967) · [46 citations](https://openalex.org/works?filter=author.id:A5004416967&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhen-li/#papers) · [🔗 Cited 490 times in our library](https://md.research.elamur.ai/free/en/authors/zhen-li/cited-by/) · [⭐ Paper Stars ranking: #1719](https://md.research.elamur.ai/free/en/paper-stars/page/18/#star-1719)

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=Zhen+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhen+Li) · [dblp](https://dblp.org/search?q=Zhen+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Zhen+Li)

## Affiliations

[🎓**Peking University** Beijing · China 2014–2024 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🔬**State Key Laboratory of Turbulence and Complex Systems** Beijing 2014–2016 · 2 papers](https://ror.org/04km98768)

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

## Fields, topics and concepts

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

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 4 Research subjects and languages the work is about.[Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [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/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zhen-li/year/2024/) · [**2021** 1 paper](https://md.research.elamur.ai/free/en/authors/zhen-li/year/2021/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision](https://md.research.elamur.ai/free/en/papers/jia-2021-scaling-up-visual-vision-language/)** *(2021 · 1,615 citations)* The paper asks whether visual and vision-language representations can be learned the way NLP models learn from raw web text, without expensive curation or labels.
2. **[Leveraging Large Language Models for NLG Evaluation: Advances and Challenges](https://md.research.elamur.ai/free/en/papers/li-2024-leveraging-large-language-models-nlg/)** *(2024 · 63 citations)* Automatic metrics for natural language generation have serious limits. N-gram overlap scores such as BLEU and ROUGE mostly capture surface differences. Embedding-based metrics often agree poorly with human ratings and explain little about their scores. This EMNLP 2024 survey reviews the fast-growing use of LLMs as…

## Co-authors here

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

- [Can Xu](https://md.research.elamur.ai/free/en/authors/can-xu/)
- [Chongyang Tao](https://md.research.elamur.ai/free/en/authors/chongyang-tao/)
- [Hieu Pham](https://md.research.elamur.ai/free/en/authors/hieu-pham/)
- [Jia-Chen Gu](https://md.research.elamur.ai/free/en/authors/jia-chen-gu/)
- [Quoc Viet Le](https://md.research.elamur.ai/free/en/authors/quoc-viet-le/)
- [Tao Shen](https://md.research.elamur.ai/free/en/authors/tao-shen/)
- [Yinfei Yang](https://md.research.elamur.ai/free/en/authors/yinfei-yang/)

## 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 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)
- [International Conference on Machine Learning (ICML)](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/): [ICML 2021](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2021/)

## Cited by

Papers of our library cite their works 490 times (of the 149,439 papers whose bibliographies we read); [60 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhen-li/cited-by/).

Updated 30 October 2026
