DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation
We introduce DesignBench, the first comprehensive multi-framework multi-task benchmark for front-end code generation, encompassing React, Vue, and Angular frameworks. Beyond traditional design generation, we pioneer design edit and repair tasks. Through extensive experiments across task complexity, framework compatibility, difficulty levels, contextual factors and in-depth code-level analysis, we reveal primary limitations in current MLLMs for framework-based development and elicit several actionable advice for researchers and developers.
May 30, 2025
Large Language Model-based data-driven framework for digital transformation in construction industry
This research proposes a data-driven framework paradigm, amalgamating 'Large Language Models (LLMs) + construction knowledge databases', modelled on a question-answering system. It leverages domain-specific knowledge to enhance the output produced by LLMs.
Jul 30, 2024