arXiv — NLP / Computation & Language · · 3 min read

I-WebGenBench : Evaluating Interactivity in LLM-Generated Scientific Web Applications

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Computer Science > Computation and Language

arXiv:2606.00750 (cs)
[Submitted on 30 May 2026]

Title:I-WebGenBench : Evaluating Interactivity in LLM-Generated Scientific Web Applications

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Abstract:Recent advances in visual language models have enabled autonomous agents for complex reasoning, tool use, and document understanding. However, existing document agents mainly transform papers into static artifacts such as summaries, webpages, or slides, which are insufficient for technical papers involving dynamic mechanisms and state transitions. In this work, we propose a Paper-to-Interactive-System Agent that converts research papers into executable interactive web systems. Given a PDF paper, the agent performs end-to-end processing without human intervention, including paper understanding, system modeling, and interactive webpage synthesis, enabling users to manipulate inputs and observe dynamic behaviors. To evaluate this task, we introduce a benchmark of 19 research papers paired with expert-built interactive systems as ground truth. We further propose PaperVoyager, a structured generation framework that explicitly models mechanisms and interaction logic during synthesis. Experiments show that PaperVoyager significantly improves the quality of generated interactive systems, offering a new paradigm for interactive scientific paper understanding.
Comments: 9 pages, 4 figures
Subjects: Computation and Language (cs.CL)
ACM classes: F.2.2; I.2.7
Cite as: arXiv:2606.00750 [cs.CL]
  (or arXiv:2606.00750v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2606.00750
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Biao Wu [view email]
[v1] Sat, 30 May 2026 14:34:02 UTC (1,340 KB)
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