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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, Information retrieval & search; often with Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng.

2 papers in our library · 2024

OpenAlex · ORCID · h-index 15 · 66 works · 866 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 208 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4024

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of California, Los AngelesLos Angeles · United States2024–2026 · 15 paperscurrent🎓University of Science and Technology of ChinaHefei · China2018–2024 · 32 papers🏢Automation Research and Design Institute of Metallurgical IndustryBeijing · China2024–2025 · 4 papers🎓Zhejiang UniversityHangzhou · China2025 · 2 papers🔬China Iron and Steel Research Institute GroupBeijing · China2024 · 2 papers

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.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20242 papersJia-Chen Gu's papers of 2024

 Papers

The most cited first (OpenAlex and our library).

  1. 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 (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 GenerationarXiv:2401.15884Shi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.2024 · 271 citations
  2. Model Editing Harms General Abilities of Large Language Models: Regularization to the RescueConference on Empirical Methods in Natural Language Processing (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 ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetZhen Li et al.2024 · 63 citations

 Co-authors here

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

Venues

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

 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 →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/jia-chen-gu/