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Jason Klein Liu

Jason Klein Liu has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining; often with Bin Chen, Chenchen Zhang, Hao Chen.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 4 · 18 works · 43 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 211 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4597

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

🎓Shanghai Jiao Tong UniversityShanghai · China2023–2025 · 5 papers🔬State Key Laboratory of Mechanical System and VibrationShanghai2024–2025 · 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.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

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

 Works by year

2020s

20251 paperOpenCoder: The Open Cookbook for Top-Tier Code Large Language Models20241 paperOpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

 Papers

The most cited first (OpenAlex and our library).

  1. OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework (2024 · 132 citations)
    Training LLMs with RLHF and RLVR, especially with PPO, is dominated by text generation. The authors say this phase can take more than 90% of runtime when models produce long chain-of-thought outputs. Existing tools also force a trade-off. TRL, DeepSpeed-Chat and ColossalChat are approachable but weak at inference…
  2. OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models (2025 · 81 citations)
    Most open code LLMs publish only their weights. Their training data, cleaning pipelines and training recipes stay hidden, which makes it hard for researchers to reproduce results or build strong baselines. OpenCoder addresses this gap. It is a code LLM family released with everything needed to rebuild it: weights…

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. OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF FrameworkarXiv:2405.11143Jian Hu, Xibin Wu, Wei Shen, et al.2024 · 132 citations
  2. OpenCoder: The Open Cookbook for Top-Tier Code Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Siming Huang, Tianhao Cheng, Jason Klein Liu, et al.2025 · 81 citations
  3. DDK: Distilling Domain Knowledge for Efficient Large Language ModelsarXiv:2407.16154 · original ↗ · no summary yetJiaheng Liu et al.2024 · 23 citations

 Co-authors here

12 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 211 times (of the 141,840 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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