| title | InteractWeb-Bench: Can Multimodal Agent Escape Blind Execution in Interactive Website Generation? |
|---|---|
| authors | Qiyao Wang, Haoran Hu, Longze Chen, Hongbo Wang, Hamid Alinejad-Rokny, Yuan Lin, Min Yang |
| date | 2026-04-30 |
| venue | arXiv (preprint, not peer reviewed) |
| id | arXiv:2604.27419 |
| affiliation | IP Intelligence |
| upvotes | 11 (Hugging Face Daily Papers, 2026-11-01) |
| links | abs pdf hf code |
| abstract | With the advancement of multimodal large language models (MLLMs) and coding agents, the website development has shifted from manual programming to agent-based project-level code synthesis. Existing benchmarks rely on idealized assumptions, especially for well-structured, information-rich inputs and static execution settings. In contrast, real-world development is constrained by a critical bottleneck: the semantic misalignment between ambiguous, low-quality instructions from non-expert users and model understanding, which results in a failure mode that we term blind execution. To address this gap, we introduce InteractWeb-Bench, the first multimodal interactive benchmark for website generation under non-expert low-code user conditions. InteractWeb-Bench introduces four types of user agents and persona-driven instruction perturbations to systematically simulate diverse user behaviors, including ambiguity, redundancy, and contradiction, grounded in requirement engineering defect taxonomies. We develop an interactive execution environment for agents, featuring a unified action space comprising Clarify, Implement, Verify, and Submit, enabling iterative intent refinement, code synthesis, and visual feedback-based validation. Extensive experiments and analysis reveal that frontier MLLM-based agents remain trapped in blind execution, exposing limitations in intent recognition and adaptive interaction. |
cite
@misc{wang2026interactweb,
title={InteractWeb-Bench: Can Multimodal Agent Escape Blind Execution in Interactive Website Generation?},
author={Qiyao Wang and Haoran Hu and Longze Chen and Hongbo Wang and Hamid Alinejad-Rokny and Yuan Lin and Min Yang},
year={2026},
eprint={2604.27419},
archivePrefix={arXiv},
url={https://arxiv.org/abs/2604.27419}
}