Asuka-Bench: Benchmarking Code Agents on Underspecified User Intent and Multi-Round Refinement
Existing code-generation benchmarks score a single mapping from a complete prompt to a one-shot output. However, real web development is different. Users seldom write a full spec at the start; many requirements only become clear once they look at an intermediate result and react to it. We present Asuka-Bench, a benchmark that pairs underspecified user intent with multi-round refinement, grounded in browser-rendered behavior. Each task is resolved through a closed loop: a Code Agent generates a web project, a UI Agent executes test cases on the deployed site, and a User LLM turns evaluation outcomes into natural-language feedback for the next round. The benchmark comprises 50 web tasks wit...
| Authors | Xin Wang, Liangtai Sun, Yaoming Zhu et al. |
|---|---|
| Primary category | cs.SE |
| Published | 4 June 2026 |
| Last updated at source | 4 June 2026 |
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