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GCC AI Research

Web2Code: A new dataset to enhance multimodal LLM performance presented at NeurIPS

MBZUAI · Significant research

Summary

MBZUAI researchers introduced Web2Code, a new dataset suite, at NeurIPS to enhance multimodal LLM performance in web page analysis and HTML generation. The suite includes a fine-tuning dataset and two benchmark datasets. Instruction tuning with Web2Code improved performance on specialized tasks without affecting general capabilities. Why it matters: This contribution addresses a key limitation in current multimodal LLMs, potentially boosting productivity in web design and development by providing targeted training data.

Keywords

MBZUAI · Web2Code · multimodal LLM · HTML · NeurIPS

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