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Bohan Wu

Bohan Wu has 2 papers in our library, in 2025, most of them on Language models & pretraining; often with Junyu Luo, Xiao Luo, Jingyang Yuan.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 15 · 55 works · 790 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 64 times in our library · ⭐ Paper Stars ranking: #7228

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

🎓Beijing Institute of TechnologyBeijing · China2025–2026 · 7 paperscurrent🎓Liaoning UniversityShenyang · China2023–2026 · 3 paperscurrent🏢China National Offshore Oil CorporationBeijing · China2024–2026 · 2 paperscurrent🏛️Hainan Meteorological ServiceHaikou · China2026 · 1 papercurrent🏛️Hainan Meteorology AdministrationHaikou · China2026 · 1 papercurrent🎓Tianjin UniversityTianjin · China2026 · 1 papercurrent🎓China University of Petroleum, BeijingBeijing · China2019–2023 · 9 papers🎓Zhejiang Sci-Tech UniversityHangzhou · China2020–2023 · 6 papers🎓Columbia UniversityNew York · United States2019–2020 · 6 papers🏛️Ministry of Industry and Information TechnologyBeijing · China2025 · 4 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Large Language Model Agent: A Survey on Methodology, Applications and Challenges (2025 · 62 citations)
    Work on LLM-based agents has grown quickly but remains scattered. Existing reviews tend to cover one slice, such as games, deployment settings, multimodality or security, or they give broad overviews without a method-level breakdown. Luo et al. address this with a survey built around how agents are engineered. Its…
  2. A Survey on Efficient Large Language Model Training: From Data-centric Perspectives (2025 · 14 citations)
    Post-training is the stage where LLMs acquire instruction following, alignment, reasoning and domain skills.

 Co-authors here

12 of 14 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 64 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

Updated

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