Chaojie Wang

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

2 papers in our library · 2024–2025

The profile is the library's match of the name; two people with one name are not always told apart.

Fields, topics and concepts

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

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…
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…

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

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 30 October 2026