most citedFAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?

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

collaborators

2 papers

cs.CL2024★ 2 cited

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data

Shaina Raza, Drai Paulen-Patterson, Chen Ding

Fake news poses a significant threat to public opinion and social stability in modern society. This study presents a comparative evaluation of BERT-like encoder-only models and aut…

cs.CL2024★ 5 cited

FAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?

Shaina Raza, Shardul Ghuge, Chen Ding +2

The rapid evolution of Large Language Models (LLMs) highlights the necessity for ethical considerations and data integrity in AI development, particularly emphasizing the role of F…