LLM-based and hybrid approaches outperform traditional TF-IDF and DeBERTa baselines in recipe nutrient estimation under strict EU tolerances, but with substantially higher inference latency.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
CGU-ILALab at FoodBench-QA 2026: Comparing Traditional and LLM-based Approaches for Recipe Nutrient Estimation
LLM-based and hybrid approaches outperform traditional TF-IDF and DeBERTa baselines in recipe nutrient estimation under strict EU tolerances, but with substantially higher inference latency.