---
title: "Yekun Chai — author profile and papers — Elamur Research"
description: "Yekun Chai, ETH Zurich: 2 papers on Elamur Research (2022), h-index 8 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/yekun-chai/"
---
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# Yekun Chai

Yekun Chai has 2 papers in our library, in 2022, most of them on [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [English](https://md.research.elamur.ai/free/en/topics/english/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Shuohuan Wang](https://md.research.elamur.ai/free/en/authors/shuohuan-wang/), [Yu Sun](https://md.research.elamur.ai/free/en/authors/yu-sun/), [Chao Pang](https://md.research.elamur.ai/free/en/authors/chao-pang/).

2 papers in our library · 2022

[OpenAlex](https://openalex.org/A5072082849) · [**h-index 8**](https://openalex.org/authors/A5072082849) · [32 works](https://openalex.org/works?filter=author.id:A5072082849) · [141 citations](https://openalex.org/works?filter=author.id:A5072082849&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yekun-chai/#papers) · [🔗 Cited 35 times in our library](https://md.research.elamur.ai/free/en/authors/yekun-chai/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7902](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7902)

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

## Affiliations

[🎓**ETH Zurich** Zurich · Switzerland 2025–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/eth-zurich/) · [🏢**Baidu** Beijing · China 2021–2025 · 12 papers](https://md.research.elamur.ai/free/en/companies/baidu/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2019–2023 · 5 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2019–2021 · 4 papers](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**University of Copenhagen** Copenhagen · Denmark 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-copenhagen/) · [🎓**Sun Yat-sen University** Guangzhou · China 2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 6 Research subjects and languages the work is about.[English · 2 works](https://md.research.elamur.ai/free/en/topics/english/) · [Multilingual & cross-lingual NLP · 2 works](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Code & programming languages · 1 work](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/)

## Works by year

### 2020s

[**2022** 2 papers](https://md.research.elamur.ai/free/en/authors/yekun-chai/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages](https://md.research.elamur.ai/free/en/papers/chai-2022-ernie-code-english-centric/)** *(2022 · 32 citations)* Most pretrained code models link source code only with English comments and documentation. This leaves out developers who work in other languages. ERNIE-Code addresses the gap with a single T5-style encoder-decoder trained jointly on 116 natural languages and 6 programming languages. Pretraining combines two…
2. **[X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/han-2022-x-pudu-semeval-2022-task/)** *(2022 · 15 citations)* The paper presents X-PuDu, a system for SemEval-2022 Task 6 (iSarcasmEval), which detects intended sarcasm in English and Arabic tweets. The task data were labelled by the tweet authors, who also wrote non-sarcastic rephrasings of their sarcastic posts. There are three subtasks:

## 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. [**ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages arXiv:2212.06742**Yekun Chai, Shuohuan Wang, Chao Pang, et al.*2022 · 32 citations*](https://md.research.elamur.ai/free/en/papers/chai-2022-ernie-code-english-centric/)
2. **[Predicate-Argument Based Bi-Encoder for Paraphrase Identification ↗](https://aclanthology.org/2022.acl-long.382/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Qiwei Peng et al.*2022 · 19 citations*
3. **[X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/han-2022-x-pudu-semeval-2022-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yaqian Han, Yekun Chai, Shuohuan Wang, et al.*2022 · 15 citations*

## Co-authors here

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

- [Shuohuan Wang](https://md.research.elamur.ai/free/en/authors/shuohuan-wang/) ×2
- [Yu Sun](https://md.research.elamur.ai/free/en/authors/yu-sun/) ×2
- [Chao Pang](https://md.research.elamur.ai/free/en/authors/chao-pang/)
- [Hao Tian](https://md.research.elamur.ai/free/en/authors/hao-tian/)
- [Hua Ren Wu](https://md.research.elamur.ai/free/en/authors/hua-ren-wu/)
- [Yang Yang](https://md.research.elamur.ai/free/en/authors/yang-yang/)

## Venues

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

- [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2022](https://md.research.elamur.ai/free/en/venues/semeval/2022/)
- Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

## Cited by

Papers of our library cite their works 35 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yekun-chai/cited-by/).

Updated 30 October 2026
