--- title: "Jiuhai Chen — author profile and papers — Elamur Research" description: "Jiuhai Chen, Salesforce: 2 papers on Elamur Research (2023–2024), h-index 8 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jiuhai-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiuhai-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiuhai Chen # Jiuhai Chen Jiuhai Chen has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Jianzong Wang](https://md.research.elamur.ai/free/en/authors/jianzong-wang/), [Jing Xiao](https://md.research.elamur.ai/free/en/authors/jing-xiao/), [Lichang Chen](https://md.research.elamur.ai/free/en/authors/lichang-chen/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5032791121) · [**h-index 8**](https://openalex.org/authors/A5032791121) · [26 works](https://openalex.org/works?filter=author.id:A5032791121) · [198 citations](https://openalex.org/works?filter=author.id:A5032791121&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiuhai-chen/#papers) · [🔗 Cited 262 times in our library](https://md.research.elamur.ai/free/en/authors/jiuhai-chen/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5415](https://md.research.elamur.ai/free/en/paper-stars/page/55/#star-5415) 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=Jiuhai+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiuhai+Chen) · [dblp](https://dblp.org/search?q=Jiuhai+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Jiuhai+Chen) ## Affiliations [🎓**University of Maryland, College Park** College Park · United States 2021–2025 · 21 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) · [🏢**Salesforce** San Francisco · United States 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/salesforce/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jiuhai-chen/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jiuhai-chen/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning](https://md.research.elamur.ai/free/en/papers/li-2023-quantity-quality-boosting-llm-performance/)** *(2023 · 161 citations)* LIMA showed that instruction tuning depends more on data quality than on volume. Picking good samples out of large open instruction sets still usually takes human curation or an external judge such as ChatGPT. This paper lets the target model choose its own training data. First, a base LLM gets a short warm-up… 2. **[Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness](https://md.research.elamur.ai/free/en/papers/chen-2024-quantifying-uncertainty-answers-any-language/)** *(2024 · 72 citations)* Commercial LLMs reached through black-box APIs often give wrong answers with apparent confidence. Users usually cannot see token probabilities or training data, and they have no calibration set. Chen and Mueller propose BSDetector, a training-free wrapper that adds a numeric confidence estimate to any response the… ## All works 4 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. [**From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning arXiv:2308.12032**Ming Li, Yong Zhang, Zhitao Li, et al.*2023 · 161 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-quantity-quality-boosting-llm-performance/) 2. **[Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness](https://md.research.elamur.ai/free/en/papers/chen-2024-quantifying-uncertainty-answers-any-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiuhai Chen, Jonas Mueller*2024 · 72 citations* 3. **[ODIN: Disentangled Reward Mitigates Hacking in RLHF ↗](https://arxiv.org/abs/2402.07319) arXiv:2402.07319 · no summary yet**Lichang Chen et al.*2024 · 38 citations* 4. **[BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset ↗](https://arxiv.org/abs/2505.09568) arXiv (Cornell University) · no summary yet**Jiuhai Chen et al.*2025 · 33 citations* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Jianzong Wang](https://md.research.elamur.ai/free/en/authors/jianzong-wang/) - [Jing Xiao](https://md.research.elamur.ai/free/en/authors/jing-xiao/) - [Lichang Chen](https://md.research.elamur.ai/free/en/authors/lichang-chen/) - [Ming Li](https://md.research.elamur.ai/free/en/authors/ming-li/) - [Ning Cheng](https://md.research.elamur.ai/free/en/authors/ning-cheng/) - [Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/tianyi-zhou/) - [Yong Zhang](https://md.research.elamur.ai/free/en/authors/yong-zhang/) - [Zhitao Li](https://md.research.elamur.ai/free/en/authors/zhitao-li/) ## 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 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) ## Cited by Papers of our library cite their works 262 times (of the 149,439 papers whose bibliographies we read); [52 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiuhai-chen/cited-by/). Updated 1 November 2026