Jiaze Chen

Jiaze Chen has 2 papers in our library, in 2025, most of them on Reasoning; often with Chengyi Wang, TianTian Fan, Wenyuan Xu.

2 papers in our library · 2025

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VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks (2025 · 68 citations)
Most RL work on long chain-of-thought reasoning uses critic-free methods such as GRPO and DAPO. These skip the value model and estimate advantages from group rewards. ByteDance Seed's VAPO argues that a learned value model has more potential, because it gives per-token credit assignment and lower-variance estimates…
Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning (2025 · 62 citations)
Seed1.5-Thinking is a reasoning model from ByteDance Seed. It works through an extended chain of thought before giving its answer. The authors identify three factors behind strong reasoning models: training data, a stable RL algorithm and scalable RL infrastructure.

12 of 14 co-authors with a page, the most papers together first.

Papers of our library cite their works 128 times (of the 149,439 papers whose bibliographies we read); 56 citing papers with a page here →.

Updated 2 November 2026