arXiv (All)
open access
UI2App: Benchmarking Visual Interaction Inference in Executable Web Application Generation
Large language models (LLMs) have demonstrated growing competence in generating web pages from UI screenshots, which convey both visual structure and cues to application behavior. Yet most screenshot-to-code benchmarks emphasize visual fidelity, while interactive generation benchmarks often supply b
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- EvoWeb: A Benchmark for Coding Agents on Evolving Web Applications#1327992
- EvoWeb: A Benchmark for Coding Agents on Evolving Web Applications#1319103
- A Survey on Large Language Models for Code Generation#1135850
- Efficient SWE Agent Benchmarking via Trajectory-Aware Evaluation#821624
- Structure-Aware Rendering: How Code Reveal Shapes Programmers' Visual Attention#1051025
Record · ID 1199900
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive