Papers by Andrea Morales-Garzón

2 papers
Culinary Crossroads: A RAG Framework for Enhancing Diversity in Cross-Cultural Recipe Adaptation (2026.acl-long)

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Challenge: Retrieval-augmented generation (RAG) is a promising approach for cross-cultural recipe adaptation, but it fails to generate diverse results even when provided with varied contextual inputs.
Approach: They propose a plug-and-play RAG framework that enhances diversity in both retrieval and context organization to generate diverse outputs to accommodate multiple user preferences.
Outcome: The proposed framework achieves Pareto efficiency in terms of diversity and quality of recipe adaptation compared to closed-book LLMs.
Semantic-aware transformation of short texts using word embeddings: An application in the Food Computing domain (2021.eacl-srw)

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Challenge: Recent work in food computing focus on generating new recipes from scratch . however, there are a large number of new recipes generated daily with user reviews .
Approach: They propose to use word embedding models to capture the semantic meaning of recipe ingredients and use them to enrich their data.
Outcome: The proposed engine will use food data to modify a recipe to fit user preferences.

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