TL;DR: Round-Trip Correctness (RTC) is a promising evaluation method for AI-generated conceptual models that doesn’t require ground truth data. It measures how well information is preserved when converting between model and text representations and back again. Testing on process modeling datasets showed RTC scores correlate well with traditional evaluation metrics, with the model→text→model pipeline being particularly reliable. The method works consistently across different domains and with different LLMs (e.g. GPT-4o and Gemini 1.5 Pro), making it a practical tool for development, quality control, and benchmarking when ground truth is unavailable.
TL;DR: Round-Trip Correctness (RTC) is a promising evaluation method for AI-generated conceptual models that doesn’t require ground truth data. It measures how well information is preserved when converting between model and text representations and back again. Testing on process modeling datasets showed RTC scores correlate well with traditional evaluation metrics, with the model→text→model pipeline being particularly reliable. The method works consistently across different domains and with different LLMs (e.g. GPT-4o and Gemini 1.5 Pro), making it a practical tool for development, quality control, and benchmarking when ground truth is unavailable. Read More Technology Blog Posts by SAP articles
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