3 citations · 6 across the 2 of their papers we have counts for
2 papers
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…
q-fin.ST2023★ 3 cited
Comparing Deep Learning Models for the Task of Volatility Prediction Using Multivariate Data
Wenbo Ge, Pooia Lalbakhsh, Leigh Isai +2
This study aims to compare multiple deep learning-based forecasters for the task of predicting volatility using multivariate data. The paper evaluates a range of models, starting f…