AI RESEARCH
Beyond Fine-Tuning: Robust Food Entity Linking under Ontology Drift with FoodOntoRAG
arXiv CS.CL
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ArXi:2603.09758v1 Announce Type: new Standardizing food terms from product labels and menus into ontology concepts is a prerequisite for trustworthy dietary assessment and safety reporting. The dominant approach to Named Entity Linking (NEL) in the food and nutrition domains fine-tunes Large Language Models (LLMs) on task-specific corpora. Although effective, fine-tuning incurs substantial computational cost, ties models to a particular ontology snapshot (i.e., version), and degrades under ontology drift.