Beyond Fine-Tuning: Robust Food Entity Linking under Ontology Drift with FoodOntoRAG | ScienceToStartup | ScienceToStartup

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References (22)

[1]

FoodSEM: Large Language Model Specialized in Food Named-Entity Linking

2025Ana Gjorgjevikj, Matej Martinc et al.

[2]

Leveraging long context in retrieval augmented language models for medical question answering

2025Gongbo Zhang, Zihan Xu et al.

[3]

Hyper-RAG: Combating LLM Hallucinations using Hypergraph-Driven Retrieval-Augmented Generation

Founder's Pitch

"FoodOntoRAG offers a robust, model-agnostic pipeline for food entity linking that adapts to ontology changes without fine-tuning."

Food AI•Score: 3•View PDF ↗

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Beyond Fine-Tuning: Robust Food Entity Linking under Ontology Drift with FoodOntoRAG

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References (22)

Founder's Pitch

"FoodOntoRAG offers a robust, model-agnostic pipeline for food entity linking that adapts to ontology changes without fine-tuning."

Commercial Viability Breakdown

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Beyond Fine-Tuning: Robust Food Entity Linking under Ontology Drift with FoodOntoRAG

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References (22)

Founder's Pitch

"FoodOntoRAG offers a robust, model-agnostic pipeline for food entity linking that adapts to ontology changes without fine-tuning."

Commercial Viability Breakdown

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