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Bokai Xu

Bokai Xu has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining; often with Chongyi Wang, Junbo Cui, Tianchi Cai.

3 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 9 · 22 works · 418 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 424 times in our library · ⭐ Paper Stars ranking: #4177

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

🔬Dunhuang Research AcademyShazhou · China2022–2025 · 2 paperscurrent🎓China University of GeosciencesWuhan · China2025 · 1 papercurrent🏥Sherman HospitalElgin · United States2025 · 1 papercurrent🎓Zhejiang UniversityHangzhou · China2025 · 1 papercurrent🎓Brandeis UniversityWaltham · United States2019–2022 · 5 papers🎓Beijing Jiaotong UniversityBeijing · China2023–2024 · 4 papers🎓Chinese University of Hong Kong, ShenzhenShenzhen · China2022–2023 · 2 papers🎓Tianjin UniversityTianjin · China2017–2022 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works

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

 Works by year

2020s

20261 paper20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Enhancing Chat Language Models by Scaling High-quality Instructional Conversations (2023 · 402 citations)
    Instruction fine-tuning makes it easy for open-source chat models to reach decent quality, but closing the remaining gap to ChatGPT is much harder.
  2. MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe (2025 · 24 citations)
    MiniCPM-V 4.5 is an 8B-parameter multimodal LLM from OpenBMB. It targets three costly parts of MLLM development: long visual token sequences, brittle document-parsing pipelines and verbose reasoning. To shorten visual input, the authors extend the 2D-Resampler of earlier MiniCPM-V models into a unified 3D-Resampler.…
  3. MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction (2026 · 5 citations)
    Current multimodal LLMs mostly handle interaction in turns: they first take in input, then answer, and they only act when the user explicitly asks.

 Co-authors here

12 of 17 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 424 times (of the 149,439 papers whose bibliographies we read); 99 citing papers with a page here →.

Updated

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