---
title: "Jia-Chen Gu — author profile and papers — Elamur Research"
description: "Jia-Chen Gu, University of California, Los Angeles: 2 papers on Elamur Research (2024), h-index 15 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/jia-chen-gu/"
---
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# Jia-Chen Gu

Jia-Chen Gu has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Zhen-Hua Ling](https://md.research.elamur.ai/free/en/authors/zhen-hua-ling/), [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/), [Nanyun Peng](https://md.research.elamur.ai/free/en/authors/nanyun-peng/).

2 papers in our library · 2024

[OpenAlex](https://openalex.org/A5005572782) · [ORCID](https://orcid.org/0000-0002-8801-1438) · [**h-index 15**](https://openalex.org/authors/A5005572782) · [66 works](https://openalex.org/works?filter=author.id:A5005572782) · [866 citations](https://openalex.org/works?filter=author.id:A5005572782&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jia-chen-gu/#papers) · [🔗 Cited 208 times in our library](https://md.research.elamur.ai/free/en/authors/jia-chen-gu/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4024](https://md.research.elamur.ai/free/en/paper-stars/page/41/#star-4024)

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

## Affiliations

[🎓**University of California, Los Angeles** Los Angeles · United States 2024–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) · [🎓**University of Science and Technology of China** Hefei · China 2018–2024 · 32 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🏢**Automation Research and Design Institute of Metallurgical Industry** Beijing · China 2024–2025 · 4 papers](https://ror.org/02bf68437) · [🎓**Zhejiang University** Hangzhou · China 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🔬**China Iron and Steel Research Institute Group** Beijing · China 2024 · 2 papers](https://ror.org/02e42hc22)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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).[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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

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

## Works by year

### 2020s

[**2024** 2 papers Jia-Chen Gu's papers of 2024](https://md.research.elamur.ai/free/en/authors/jia-chen-gu/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Corrective Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/papers/yan-2024-corrective-retrieval-augmented-generation/)** *(2024 · 271 citations)* Retrieval-augmented generation helps LLMs only when the fetched documents are actually relevant. When the retriever fails, irrelevant passages can mislead the generator and cause hallucinations. Most existing pipelines pass every retrieved text along unchecked. CRAG (Corrective RAG) adds a correction layer between…
2. **[Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue](https://md.research.elamur.ai/free/en/papers/gu-2024-model-editing-harms-general-abilities/)** *(2024 · 66 citations)* Model editing updates facts stored in large language models without full retraining. However, it is usually judged only on whether the edit sticks, generalizes to paraphrases and leaves unrelated facts intact. This EMNLP 2024 paper asks whether such edits quietly damage the models' broader capabilities. The authors…

## 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. [**Corrective Retrieval Augmented Generation arXiv:2401.15884**Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.*2024 · 271 citations*](https://md.research.elamur.ai/free/en/papers/yan-2024-corrective-retrieval-augmented-generation/)
2. **[Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue](https://md.research.elamur.ai/free/en/papers/gu-2024-model-editing-harms-general-abilities/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, et al.*2024 · 66 citations*
3. **[Leveraging Large Language Models for NLG Evaluation: Advances and Challenges ↗](https://aclanthology.org/2024.emnlp-main.896/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zhen Li et al.*2024 · 63 citations*

## Co-authors here

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

- [Zhen-Hua Ling](https://md.research.elamur.ai/free/en/authors/zhen-hua-ling/) ×2
- [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/)
- [Nanyun Peng](https://md.research.elamur.ai/free/en/authors/nanyun-peng/)
- [Pan Lu](https://md.research.elamur.ai/free/en/authors/pan-lu/)
- [Yun Zhu](https://md.research.elamur.ai/free/en/authors/yun-zhu/)

## 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/) ×2: [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/)

## Cited by

Papers of our library cite their works 208 times (of the 141,840 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jia-chen-gu/cited-by/).

Updated 24 October 2026
