LLMs generate culturally unrepresentative recipe adaptations unlike humans. Outputs ignore cultural distance correlations from GlobalFusion dataset. Issues stem from weak cultural representations and novelty inflation.
Key Points
- 1.Human vs LLM cross-cultural comparison
- 2.No cultural divergence correlation
- 3.Biases in ingredients/tradition
Impact Analysis
Highlights limits for LLMs in culturally sensitive content generation.
Technical Details
Analyzes internal representations and adaptation grounding.