---
title: "Chen Lin — author profile and papers"
description: "Chen Lin, Beihang University: 2 papers on Elamur Research (2014–2023), h-index 26 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/chen-lin/"
---
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# Chen Lin

2 papers on this site · 2014–2023

current affiliation [Beihang University](https://md.research.elamur.ai/free/en/universities/beihang-university/), Beijing, China

Chen Lin has 2 papers on this site, in 2014–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Guergana Savova](https://md.research.elamur.ai/free/en/authors/guergana-savova/), [Hang Zhang](https://md.research.elamur.ai/free/en/authors/hang-zhang/), [James Pustejovsky](https://md.research.elamur.ai/free/en/authors/james-pustejovsky/).

[OpenAlex](https://openalex.org/A5100443769) · [ORCID](https://orcid.org/0000-0002-8367-3651) · [**h-index 26**](https://openalex.org/authors/A5100443769) · [208 works](https://openalex.org/works?filter=author.id:A5100443769) · [2 110 citations](https://openalex.org/works?filter=author.id:A5100443769&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[2 works on this site](https://md.research.elamur.ai/free/en/authors/chen-lin/#papers) · [225 citations in our library](https://md.research.elamur.ai/free/en/authors/chen-lin/cited-by/)

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

## Affiliations

- [Beihang University](https://md.research.elamur.ai/free/en/universities/beihang-university/) · Beijing, China —current · 2015–2026 on 107 papers
- [Xiamen University](https://md.research.elamur.ai/free/en/universities/xiamen-university/) · Xiamen, China —2023–2024 on 2 papers
- [Chinese Academy of Sciences](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · Beijing, China —2010–2023 on 3 papers
- [Anshun University](https://ror.org/009jy0c86) · Anshun, China —2019–2020 on 2 papers
- [National University of Singapore](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · Singapore, Singapore —2009–2019 on 18 papers
- [Centre for Quantum Technologies](https://ror.org/01mgdzc49) · Singapore, Singapore —2009–2016 on 17 papers
- [University of Waterloo](https://md.research.elamur.ai/free/en/universities/university-of-waterloo/) · Waterloo, Canada —2012–2016 on 12 papers
- [Singapore University of Technology and Design](https://md.research.elamur.ai/free/en/universities/singapore-university-of-technology-and-design/) · Singapore, Singapore —2014–2016 on 7 papers
- [Zhejiang Normal University](https://ror.org/01vevwk45) · Jinhua, China —2008–2009 on 2 papers
- [Zhejiang University](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · Hangzhou, China —2005–2008 on 9 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 31 more institutions on single bylines are not listed.

## Topics

[Language models & pretraining 1](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/he-2023-annollm-making-large-language-models/)

### 2010s

[**2014** 1 paper](https://md.research.elamur.ai/free/en/papers/iv-2014-temporal-annotation-clinical-domain/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Temporal Annotation in the Clinical Domain](https://md.research.elamur.ai/free/en/papers/iv-2014-temporal-annotation-clinical-domain/)** *(2014 · 349 citations)* Clinical narratives in electronic health records hold rich temporal information, but much of it is left implicit.
2. **[AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators](https://md.research.elamur.ai/free/en/papers/he-2023-annollm-making-large-language-models/)** *(2023 · 150 citations)* Manually labelling data for NLP is slow and expensive. This paper asks whether GPT-3.5 models can replace crowd workers. The authors build AnnoLLM, which gives the model the same materials a human annotator would get: a task description, label definitions and labelled examples. It then adds a two-stage…

## Co-authors here

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

- [Guergana Savova](https://md.research.elamur.ai/free/en/authors/guergana-savova/)
- [Hang Zhang](https://md.research.elamur.ai/free/en/authors/hang-zhang/)
- [James Pustejovsky](https://md.research.elamur.ai/free/en/authors/james-pustejovsky/)
- [Martha Palmer](https://md.research.elamur.ai/free/en/authors/martha-palmer/)
- [Nan Duan](https://md.research.elamur.ai/free/en/authors/nan-duan/)
- [Piet de Groen](https://md.research.elamur.ai/free/en/authors/piet-de-groen/)
- [Sameer Pradhan](https://md.research.elamur.ai/free/en/authors/sameer-pradhan/)
- [Steven Bethard](https://md.research.elamur.ai/free/en/authors/steven-bethard/)
- [Timothy Miller](https://md.research.elamur.ai/free/en/authors/timothy-miller/)
- [Weizhu Chen](https://md.research.elamur.ai/free/en/authors/weizhu-chen/)
- [Yeyun Gong](https://md.research.elamur.ai/free/en/authors/yeyun-gong/)

## Cited by

Papers of our library cite their works 225 times (of the 140 884 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chen-lin/cited-by/).
