Artifact-grounded RL trains a general frontend development agent

WebCoder-27B outperforms proprietary models on composed frontend tasks through progress-based credit assignment.

Chinese Tech
Zijun Dou · Zhen Yang · Xijun Liu · Dongzhuoran Zhou · Aohan Zeng · Jie Tang

Tsinghua University · Zhipu AI · Beihang University · University of Oslo

Research Digest··2 min read
The authors introduce WebCoder, a general frontend development agent trained with artifact-grounded agentic reinforcement learning.

The authors introduce WebCoder, a general frontend development agent trained with artifact-grounded agentic reinforcement learning.

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