Semantic Delta: An Interpretable Signal Differentiating Human and LLMs Dialogue

1. 1Map text to thematic intensity scores using Empath lexical analysis framework
2. 2Derive semantic categories distribution for human and LLMs generated dialogue
3. 3Calculate Semantic Delta metric to distinguish between human and LLMs dialogue
4. 4Apply this metric to various dialogue systems to improve their performance and interpretability

AI researchers and NLP engineers can benefit from this research to improve LLMs and develop more effective dialogue systems, while data scientists can apply this metric to analyze and understand human-language interactions

💡 Semantic Delta provides an interpretable signal to differentiate human and LLMs dialogue, enabling more effective analysis and improvement of language models

🤖 Identify human vs LLMs dialogue with Semantic Delta! 📊