most citedUtilizing Large Language Models to Generate Synthetic Data to Increase the Performance of BERT-Based Neural Networks

6 citations · 7 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024★ 1 cited

Crowdsourcing with Enhanced Data Quality Assurance: An Efficient Approach to Mitigate Resource Scarcity Challenges in Training Large Language Models for Healthcare

P. Barai, G. Leroy, P. Bisht +5

Large Language Models (LLMs) have demonstrated immense potential in artificial intelligence across various domains, including healthcare. However, their efficacy is hindered by the…

cs.CL2024★ 6 cited

Utilizing Large Language Models to Generate Synthetic Data to Increase the Performance of BERT-Based Neural Networks

Chancellor R. Woolsey, Prakash Bisht, Joshua Rothman +1

An important issue impacting healthcare is a lack of available experts. Machine learning (ML) models could resolve this by aiding in diagnosing patients. However, creating datasets…