---
title: "Shiqi Chen — author profile and papers — Elamur Research"
description: "Shiqi Chen, Sichuan University of Science and Engineering: 3 papers on Elamur Research (2023–2026), h-index 7 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/shiqi-chen/"
---
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# Shiqi Chen

Shiqi Chen has 3 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/); often with [Junxian He](https://md.research.elamur.ai/free/en/authors/junxian-he/), [I-Chun Chern](https://md.research.elamur.ai/free/en/authors/i-chun-chern/), [Jinghan Zhang](https://md.research.elamur.ai/free/en/authors/jinghan-zhang/).

3 papers in our library · 2023–2026

[OpenAlex](https://openalex.org/A5014829857) · [ORCID](https://orcid.org/0000-0002-9129-0300) · [**h-index 7**](https://openalex.org/authors/A5014829857) · [26 works](https://openalex.org/works?filter=author.id:A5014829857) · [129 citations](https://openalex.org/works?filter=author.id:A5014829857&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/shiqi-chen/#papers) · [🔗 Cited 214 times in our library](https://md.research.elamur.ai/free/en/authors/shiqi-chen/cited-by/) · [⭐ Paper Stars ranking: #5898](https://md.research.elamur.ai/free/en/paper-stars/page/59/#star-5898)

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

## Affiliations

[🎓**Xiamen University of Technology** Xiamen · China 2025–2026 · 3 papers*current*](https://ror.org/01285e189) · [🎓**Sichuan University of Science and Engineering** Zigong · China 2025–2026 · 2 papers*current*](https://ror.org/053fzma23) · [🎓**Zhejiang University** Hangzhou · China 2021–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**City University of Hong Kong** Hong Kong · China 2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/city-university-of-hong-kong/) · [🎓**Nantong University** Nantong · China 2021 · 3 papers](https://ror.org/02afcvw97) · [🎓**Nankai University** Tianjin · China 2023–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/nankai-university/) · [🎓**Nanjing University of Posts and Telecommunications** Nanjing · China 2010–2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-posts-and-telecommunications/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

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

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/shiqi-chen/year/2026/) · [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/shiqi-chen/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[FacTool: Factuality Detection in Generative AI — A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios](https://md.research.elamur.ai/free/en/papers/chern-2023-factool-factuality-detection-generative-ai/)** *(2023 · 160 citations)* Large language models such as ChatGPT write fluent long-form answers that may contain factual errors. Classic fact-checking setups rarely fit this case. They usually assume that the claim to check, or the evidence for it, is already given. LLM outputs instead come without either, and they are long, with no clear unit…
2. **[FELM: Benchmarking Factuality Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2023-felm-benchmarking-factuality-evaluation-large/)** *(2023 · 99 citations)* Detecting factual errors in LLM output is important, but the tools that do this detection also need to be measured.
3. **[How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality Perspective](https://md.research.elamur.ai/free/en/papers/zhu-2026-how-can-synthetic-data-improve/)** *(2026)* Multilingual LLMs perform poorly in low-resource languages. The authors argue the main gap is not token volume but how little world knowledge the available text contains. They trained 1.1B TinyLlama models from scratch on noisy MADLAD-400 web data in six languages, all with the same token budget. Scores on simpler…

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Junxian He](https://md.research.elamur.ai/free/en/authors/junxian-he/) ×3
- [I-Chun Chern](https://md.research.elamur.ai/free/en/authors/i-chun-chern/) ×2
- [Jinghan Zhang](https://md.research.elamur.ai/free/en/authors/jinghan-zhang/) ×2
- [Pengfei Liu](https://md.research.elamur.ai/free/en/authors/pengfei-liu/) ×2
- [Chang Ma](https://md.research.elamur.ai/free/en/authors/chang-ma/)
- [Chunting Zhou](https://md.research.elamur.ai/free/en/authors/chunting-zhou/)
- [Graham Neubig](https://md.research.elamur.ai/free/en/authors/graham-neubig/)
- [Kehua Feng](https://md.research.elamur.ai/free/en/authors/kehua-feng/)
- [Longxu Dou](https://md.research.elamur.ai/free/en/authors/longxu-dou/)
- [Qian Liu](https://md.research.elamur.ai/free/en/authors/qian-liu/)
- [Steffi Chern](https://md.research.elamur.ai/free/en/authors/steffi-chern/)
- [Tongyao Zhu](https://md.research.elamur.ai/free/en/authors/tongyao-zhu/)

## 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 Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)

## Cited by

Papers of our library cite their works 214 times (of the 149,439 papers whose bibliographies we read); [61 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shiqi-chen/cited-by/).

Updated 2 November 2026
