1 citations · 2 across the 6 of their papers we have counts for
5 papers · 1 filter
Validating FKG.in: Soundness Assessment in LLM-Augmented Indian Food Knowledge
Saransh Kumar Gupta, Armaan Shah, Lipika Dey +2
The online culinary ecosystem is increasingly populated by recipe content generated, modified, or summarized by Large Language Models (LLMs). While often plausible, such outputs ma…
Towards an Action-Centric Ontology for Cooking Procedures Using Temporal Graphs
Aarush Kumbhakern, Saransh Kumar Gupta, Lipika Dey +1
Formalizing cooking procedures remains a challenging task due to their inherent complexity and ambiguity. We introduce an extensible domain-specific language for representing recip…
Extending FKG.in: Towards a Food Claim Traceability Network
Saransh Kumar Gupta, Rizwan Gulzar Mir, Lipika Dey +3
The global food landscape is rife with scientific, cultural, and commercial claims about what foods are, what they do, what they should not do, or should not do. These range from r…
Enhancing FKG.in: automating Indian food composition analysis
Saransh Kumar Gupta, Lipika Dey, Partha Pratim Das +2
This paper presents a novel approach to compute food composition data for Indian recipes using a knowledge graph for Indian food (FKG[.]in) and LLMs. The primary focus is to provid…
Building FKG.in: a Knowledge Graph for Indian Food
Saransh Kumar Gupta, Lipika Dey, Partha Pratim Das +1
This paper presents an ontology design along with knowledge engineering, and multilingual semantic reasoning techniques to build an automated system for assimilating culinary infor…