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Haijiang Liu

Haijiang Liu has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Arnav Arora, Daniel Hershcovich, Isabelle Augenstein.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 7 · 52 works · 181 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 14 times in our library · ⭐ Paper Stars ranking: #10081

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

🎓Tongji UniversityShanghai · China2002–2026 · 38 paperscurrent🎓Central South UniversityChangsha · China2022–2026 · 2 paperscurrent🎓Wuhan University of Science and TechnologyWuhan · China2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 workBiochemistry, Genetics and Molecular Biology · 1 workMolecular Biology · 1 work

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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations (2025 · 23 citations)
    Large cross-national surveys are expensive and slow. The authors ask whether LLMs can be trained, rather than just prompted, to predict how a country's population would divide its answers across a survey question's options. They frame this as group-level distribution prediction and build datasets from the 2017–2022…
  2. From Regulatory Approvals to Patents: Cross-Domain Linking for Cardiovascular Device Traceability (2026)
    The paper addresses the task of connecting FDA-approved medical devices to the USPTO patents that protect their technology.

 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 14 times (of the 149,439 papers whose bibliographies we read); 7 citing papers with a page here →.

Updated

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