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Jiacai Liu

Jiacai Liu has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining; often with Chaojie Wang, Chris Yuhao Liu, Jujie He.

2 papers in our library · 2024–2025

OpenAlex · h-index 1 · 7 works · 2 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 158 times in our library · ⭐ Paper Stars ranking: #6080

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

🎓Fudan UniversityShanghai · China2024–2025 · 2 papers🏢Skyworks SolutionsWoburn · United States2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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 workSafety Research · 1 workSocial Sciences · 1 work

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

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs (2024 · 112 citations)
    Reward models turn human preferences into a training signal for LLM alignment. Their quality depends heavily on the preference data, and open-source preference datasets tend to be noisy or inconsistently labelled. The authors take a data-first approach. Using only public sources (HelpSteer2, OffsetBias, WildGuardMix…
  2. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy (2025 · 48 citations)
    Open reward models used in RLHF are fragile. High RewardBench scores often fail to carry over to other evaluations, and tweaks to losses or architectures have brought little real progress. The authors argue that the bottleneck is the preference data itself, which is often narrow, synthetically labeled or poorly…

 Co-authors here

11 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 158 times (of the 149,439 papers whose bibliographies we read); 45 citing papers with a page here →.

Updated

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