Chao Xin

Chao Xin has 2 papers in our library, in 2025, most of them on Language models & pretraining; often with Lin Yan, Yu Yue, Guanlin Liu.

2 papers in our library · 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).

Exploring Data Scaling Trends and Effects in Reinforcement Learning from Human Feedback (2025 · 12 citations)
This ByteDance Seed study asks why adding more prompt data to PPO-based RLHF stops improving large language models.
PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier (2025 · 8 citations)
LLMs can write elaborate reasoning but are poor at judging whether their own answers are right. Existing fixes have drawbacks. A separate verifier model adds cost. Multi-stage RL pipelines such as SCoRe need a warm-up phase to avoid model collapse, where the second attempt barely differs from the first. PAG instead…

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

Papers of our library cite their works 20 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated 3 November 2026