Omni2Web: Benchmarking Audiovisual Website Development

arXiv:2609.23417 · cs.SE, cs.CV · Submitted 2026-09-20 · Read on arXiv

cs.SE, cs.CV

Submitted: 2026-09-20

Updated: 2026-09-20

Comments: 32 pages, 6 figures, 18 tables

Project page: https://omni2web-bench.github.io

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmarking — 36× in this paper · explained in 3 episodes
• Grounding — 27× in this paper · explained in 3 episodes
• Benchmark — 22× in this paper · explained in 2 episodes
• Alignment — 12× in this paper · explained in 1 episode
• Robustness — 9× in this paper · explained in 5 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Calibration — 5× in this paper · explained in 7 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Edit Fidelity Score — 3× in this paper
• Fidelity — 3× in this paper · explained in 2 episodes
• Instruction Recovery Score — 3× in this paper
• LLM judge — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• ScreenAI: A Vision-Language Model for UI and Infographics Understanding
• MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction
• WebVR: Benchmarking Multimodal LLMs for WebPage Recreation from Videos via Human-Aligned Visual Rubrics
• Nemotron 3 Nano Omni: Efficient and Open Multimodal Intelligence
• MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos
• WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
• Muse Spark Safety & Preparedness Report
• Qwen3-ASR Technical Report
• LVOmniBench: Pioneering Long Audio-Video Understanding Evaluation for Omnimodal LLMs
• Gemma 4 Technical Report
• Kimi K3: Open Frontier Intelligence
• Qwen3.5-Omni Technical Report
• Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models
• FronTalk: Benchmarking Front-End Development as Conversational Code Generation with Multi-Modal Feedback
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• Daily-Omni: Towards Audio-Visual Reasoning with Temporal Alignment across Modalities

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