WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation
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Abstract (arXiv)
We present WebMMU, a multilingual benchmark that evaluates three core web tasks: (1) website visual question answering, (2) code editing involving HTML/CSS/JavaScript, and (3) mockup-to-code generation. Unlike prior benchmarks that treat these tasks separately, WebMMU unifies them using expert-annotated, real-world web data to assess models' abilities in complex multi-step reasoning, precise element grounding, and functional UI comprehension and coding. Our evaluation shows that while multimodal large language models (MLLMs) perform well on basic information extraction, they struggle with reasoning and grounding, editing code to preserve functionality, and generating design-to-code that maintains hierarchy and supports multilingual content. These findings reveal key limitations in current MLLMs and underscore the need for improved multimodal and cross-lingual reasoning to build future web agents capable of automating diverse web development tasks.
Key facts. Cited by 16 papers in the map (data through 14 Oct 2026). Builds on 42 of its 59 references that are in the map. First posted on arXiv 22 Aug 2025.
Builds on
42 of 59 references.
References · 42
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- 2023Mind2Web: Towards a Generalist Agent for the Webcited by 1,242
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- 2021WebQA: Multihop and Multimodal QAcited by 109
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- 2021WebSRC: A Dataset for Web-Based Structural Reading Comprehensioncited by 100
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- 2024Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMscited by 74
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- 2023Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructionscited by 48
- 2021Screen Parsing: Towards Reverse Engineering of UI Models from Screenshotscited by 32
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- 2024CodeEditorBench: Evaluating Code Editing Capability of Large Language Modelscited by 23
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Citing papers per year: 2025: 9; 2026: 7.
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- 2025PyFi: Toward Pyramid-like Financial Image Understanding for VLMs via Adversarial Agents11 Dec 2025
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- 2026AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoningcited by 7
- 2025MPR-GUI: Benchmarking and Enhancing Multilingual Perception and Reasoning in GUI Agentscited by 5
- 2025Composition-Grounded Data Synthesis for Visual Reasoningcited by 3
- 2026AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning26 Jan 2026
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- 2025Octopus: Agentic Multimodal Reasoning with Six-Capability Orchestration19 Nov 2025
- 2025Composition-Grounded Data Synthesis for Visual Reasoning16 Oct 2025
- 2025IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video?cited by 12
- 2025InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generationcited by 4
- 2025WebGen-V Bench: Structured Representation for Enhancing Visual Design in LLM-based Web Generation and Evaluationcited by 3
- 2025Can Agent Conquer Web? Exploring the Frontiers of ChatGPT Atlas Agent in Web Gamescited by 1
- 2026SEATauBench: Progressively Adapting Tool-Agent-User Evaluation Into Low-Resource Southeast Asian Languagescited by 0
- 2026AUV-Bench: Aesthetic Understanding and Generation Evaluation for User Interfacescited by 0
- 2026AUV-Bench: Aesthetic Understanding and Generation Evaluation for User Interfaces28 Sep 2026
- 2026SEATauBench: Progressively Adapting Tool-Agent-User Evaluation Into Low-Resource Southeast Asian Languages27 Jun 2026
- 2025Can Agent Conquer Web? Exploring the Frontiers of ChatGPT Atlas Agent in Web Games30 Oct 2025
- 2025WebGen-V Bench: Structured Representation for Enhancing Visual Design in LLM-based Web Generation and Evaluation17 Oct 2025
- 2025InteractScience: Programmatic and Visually-Grounded Evaluation of Interactive Scientific Demonstration Code Generation10 Oct 2025
- 2025IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video?29 Sep 2025
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