---
title: "Jiaang Li · University of Copenhagen — author profile and papers"
description: "Jiaang Li, University of Copenhagen: 2 papers on Elamur Research (2023–2026), h-index 3 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/jiaang-li/"
---
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# Jiaang Li

Jiaang Li has 2 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Anders Søgaard](https://md.research.elamur.ai/free/en/authors/anders-sogaard/), [Antonia Karamolegkou](https://md.research.elamur.ai/free/en/authors/antonia-karamolegkou/), [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/).

2 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5055296248) · [**h-index 3**](https://openalex.org/authors/A5055296248) · [10 works](https://openalex.org/works?filter=author.id:A5055296248) · [61 citations](https://openalex.org/works?filter=author.id:A5055296248&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiaang-li/#papers) · [🔗 Cited 61 times in our library](https://md.research.elamur.ai/free/en/authors/jiaang-li/cited-by/) · [⭐ Paper Stars ranking: #6704](https://md.research.elamur.ai/free/en/paper-stars/page/68/#star-6704)

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

## Affiliations

[🎓**University of Copenhagen** Copenhagen · Denmark 2023–2025 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-copenhagen/)

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 6 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/) · [Business, Management and Accounting · 1 work](https://md.research.elamur.ai/free/en/shelves/business-management-and-accounting/) · [Marketing · 1 work](https://md.research.elamur.ai/free/en/shelves/business-management-and-accounting/marketing/)

🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jiaang-li/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jiaang-li/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Copyright Violations and Large Language Models](https://md.research.elamur.ai/free/en/papers/karamolegkou-2023-copyright-violations-large-language-models/)** *(2023 · 109 citations)* The paper asks whether large language models can reproduce copyrighted text word for word. This matters because fair use generally covers extracting information from protected works, not redistributing them. The authors test six model families. For the open models (OPT, Pythia, LLaMA, Falcon/Falcon-Instruct), they…
2. **[SELECting over Tokens: Curating Pre-training Data at Scale via Token Classification](https://md.research.elamur.ai/free/en/papers/tong-2026-selecting-over-tokens-curating-pre/)** *(2026)* Web-scraped pre-training corpora contain a lot of boilerplate and noise. Standard cleaning pipelines use document-level heuristics that can only keep or drop whole pages. Generative token-level refiners such as ProX-C are finer-grained but slow at scale and may hallucinate edits. The authors propose SelecT, which…

## Co-authors here

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

- [Anders Søgaard](https://md.research.elamur.ai/free/en/authors/anders-sogaard/)
- [Antonia Karamolegkou](https://md.research.elamur.ai/free/en/authors/antonia-karamolegkou/)
- [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/)
- [Haibin Chen](https://md.research.elamur.ai/free/en/authors/haibin-chen/)
- [Kangtao Lv](https://md.research.elamur.ai/free/en/authors/kangtao-lv/)
- [Langming Liu](https://md.research.elamur.ai/free/en/authors/langming-liu/)
- [Li Zhou](https://md.research.elamur.ai/free/en/authors/li-zhou/)
- [Shilei Liu](https://md.research.elamur.ai/free/en/authors/shilei-liu/)
- [Weidong Zhang](https://md.research.elamur.ai/free/en/authors/weidong-zhang/)
- [Wenbo Su](https://md.research.elamur.ai/free/en/authors/wenbo-su/)
- [Xin Tong](https://md.research.elamur.ai/free/en/authors/xin-tong/)
- [Yujin Yuan](https://md.research.elamur.ai/free/en/authors/yujin-yuan/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [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 61 times (of the 149,439 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiaang-li/cited-by/).

Updated 1 November 2026
