Elamur Research⌕
☰
home / authors / Sijia Liu

Sijia Liu

Sijia Liu has 2 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Jinghan Jia, Anil Ramakrishna, Kai-Wei Chang.

2 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 32 · 257 works · 4,004 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 127 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7806

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

🎓Hunan UniversityChangsha · China2026 · 1 papercurrent🎓Michigan State UniversityEast Lansing · United States2020–2025 · 81 papers🏢IBMArmonk · United States2018–2025 · 52 papers🎓Massachusetts Institute of TechnologyCambridge · United States2018–2025 · 29 papers🎓Syracuse UniversitySyracuse · United States2012–2020 · 21 papers🎓University of MichiganAnn Arbor · United States2016–2025 · 20 papers🎓Huazhong University of Science and TechnologyWuhan · China2023–2025 · 5 papers🎓Yanshan UniversityQinhuangdao · China2019–2022 · 4 papers🎓Yunnan Normal UniversityKunming · China2016–2017 · 4 papers🎓China University of Petroleum, East ChinaQingdao · China2023–2025 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 45 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning (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 (2026 · 4 citations)
    Most LLM unlearning methods minimize a weighted sum of a forget loss and a retain loss with a fixed coefficient.

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. Rethinking machine unlearning for large language models ↗Nature Machine Intelligence · no summary yetSijia Liu et al.2025 · 197 citations
  2. SOUL: Unlocking the Power of Second-Order Optimization for LLM UnlearningConference on Empirical Methods in Natural Language Processing (EMNLP)Jinghan Jia, Yihua Zhang, Yimeng Zhang, et al.2024 · 46 citations
  3. BLUR: A Bi-Level Optimization Approach for LLM UnlearningConference of the European Chapter of the Association for Computational Linguistics (EACL)Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, et al.2026 · 4 citations

 Co-authors here

4 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 127 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/sijia-liu/