3 citations · 9 across the 7 of their papers we have counts for
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cs.CL2023★ 3 cited
Zero- and Few-Shots Knowledge Graph Triplet Extraction with Large Language Models
Andrea Papaluca, Daniel Krefl, Sergio Mendez Rodriguez +2
In this work, we tested the Triplet Extraction (TE) capabilities of a variety of Large Language Models (LLMs) of different sizes in the Zero- and Few-Shots settings. In detail, we…
quant-ph2023★ 2 cited
Real-time error mitigation for variational optimization on quantum hardware
Matteo Robbiati, Alejandro Sopena, Andrea Papaluca +1
In this work we put forward the inclusion of error mitigation routines in the process of training Variational Quantum Circuit (VQC) models. In detail, we define a Real Time Quantum…