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Haotian Wang

Haotian Wang has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining; often with Bing Qin, Lei Huang, Qianglong Chen.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 9 · 42 works · 2,596 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 852 times in our library · ⭐ Paper Stars ranking: #1001

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

🎓Harbin Institute of TechnologyHarbin · China2022–2026 · 17 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2026 · 1 papercurrent🔬Institute of AutomationBeijing · China2026 · 1 papercurrent🏢JingdongBeijing · China2026 · 1 papercurrent🎓National University of Defense TechnologyChangsha · China2019–2024 · 5 papers🎓Beihua UniversityJilin · China2022–2024 · 2 papers🎓University of IdahoMoscow · United States2020–2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 15 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workControl and Systems Engineering · 1 workEngineering · 1 work

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

💡 Concepts 3Key ideas and methods explained on our concept pages.Chatbots · 1 workLanguage model · 1 workLarge language models · 1 work

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions (2023 · 3,231 citations)
    Large language models often produce fluent, convincing text that is not supported by facts or by the input they were given.
  2. Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection Rules (2026)
    Embodied agents increasingly use LLM planners that draw on a vector memory of past instructions and observations.

 Co-authors here

9 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 852 times (of the 149,439 papers whose bibliographies we read); 172 citing papers with a page here →.

Updated

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