WebGrader: Training LLMs for Web Development with Self-Evolving Programmatic Grader
Boshui Chen, Huiping Liu, Shaolei Zhang
cs.AI
Submitted: 2026-08-06
Updated: 2026-08-10
Comments: 17 pages, 3 figures. Supplementary material is included in the main PDF
Code: https://github.com/boneykingofnone/WebGrader
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Program Synthesis with Large Language Models
- Evaluating Large Language Models Trained on Code
- From Self-Evolving Synthetic Data to Verifiable-Reward RL: Post-Training Multi-turn Interactive Tool-Using Agents
- ReSyn: Autonomously Scaling Synthetic Environments for Reasoning Models
- WebGen-R1: Incentivizing Large Language Models to Generate Functional and Aesthetic Websites with Reinforcement Learning
- WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web Testing
- WebRenderBench: Enhancing Web Interface Generation through Layout-Style Consistency and Reinforcement Learning
- EvolveCoder: Evolving Test Cases via Adversarial Verification for Code Reinforcement Learning
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- HTMLCure: Turning Browser Experience into State Guided Repair for Interactive HTML
- Qwen3 Technical Report
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