4 citations · 5 across the 6 of their papers we have counts for
3 papers · 1 filter
OG-RAG: Ontology-Grounded Retrieval-Augmented Generation For Large Language Models
Kartik Sharma, Peeyush Kumar, Yunqing Li
This paper presents OG-RAG, an Ontology-Grounded Retrieval Augmented Generation method designed to enhance LLM-generated responses by anchoring retrieval processes in domain-specif…
Feature-Based Interpretable Surrogates for Optimization
Marc Goerigk, Michael Hartisch, Sebastian Merten +1
For optimization models to be used in practice, it is crucial that users trust the results. A key factor in this aspect is the interpretability of the solution process. A previous…
Efficient variational quantum eigensolver methodologies on quantum processors
Tushar Pandey, Jason Saroni, Abdullah Kazi +1
We compare the performance of different methodologies for finding the ground state of the molecule BeH2. We implement adaptive, tetris-adaptive variational quantum eigensolver (VQE…