--- title: "Jinghan Jia — author profile and papers — Elamur Research" description: "Jinghan Jia: 2 papers on Elamur Research (2024–2026), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jinghan-jia/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jinghan-jia/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jinghan Jia # Jinghan Jia Jinghan Jia has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Sijia Liu](https://md.research.elamur.ai/free/en/authors/sijia-liu/), [Anil Ramakrishna](https://md.research.elamur.ai/free/en/authors/anil-ramakrishna/), [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5004073412) · [**h-index 2**](https://openalex.org/authors/A5004073412) · [5 works](https://openalex.org/works?filter=author.id:A5004073412) · [21 citations](https://openalex.org/works?filter=author.id:A5004073412&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jinghan-jia/#papers) · [🔗 Cited 33 times in our library](https://md.research.elamur.ai/free/en/authors/jinghan-jia/cited-by/) · [⭐ Paper Stars ranking: #9026](https://md.research.elamur.ai/free/en/paper-stars/page/91/#star-9026) 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=Jinghan+Jia) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jinghan+Jia) · [dblp](https://dblp.org/search?q=Jinghan+Jia) · [ACL Anthology](https://aclanthology.org/search/?q=Jinghan+Jia) ## Affiliations [🏢**IBM** Armonk · United States 2024 · 2 papers](https://md.research.elamur.ai/free/en/companies/ibm/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 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 [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jinghan-jia/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jinghan-jia/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning](https://md.research.elamur.ai/free/en/papers/jia-2024-soul-unlocking-power-second-order/)** *(2024 · 46 citations)* The paper addresses LLM unlearning: removing the effect of unwanted data, such as private, copyrighted or toxic content, without full retraining and without harming general utility. 2. **[BLUR: A Bi-Level Optimization Approach for LLM Unlearning](https://md.research.elamur.ai/free/en/papers/reisizadeh-2026-blur-bi-level-optimization-approach/)** *(2026 · 4 citations)* Most LLM unlearning methods minimize a weighted sum of a forget loss and a retain loss with a fixed coefficient. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Sijia Liu](https://md.research.elamur.ai/free/en/authors/sijia-liu/) ×2 - [Anil Ramakrishna](https://md.research.elamur.ai/free/en/authors/anil-ramakrishna/) - [Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/) - [Yihua Zhang](https://md.research.elamur.ai/free/en/authors/yihua-zhang/) - [Yimeng Zhang](https://md.research.elamur.ai/free/en/authors/yimeng-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) ## Cited by Papers of our library cite their works 33 times (of the 149,439 papers whose bibliographies we read); [11 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jinghan-jia/cited-by/). Updated 2 November 2026