565 citations · 566 across the 2 of their papers we have counts for
2 papers
cs.SE2025★ 1 cited
Making a Pipeline Production-Ready: Challenges and Lessons Learned in the Healthcare Domain
Daniel Angelo Esteves Lawand, Lucas Quaresma Medina Lam, Roberto Oliveira Bolgheroni +3
Deploying a Machine Learning (ML) training pipeline into production requires good software engineering practices. Unfortunately, the typical data science workflow often leads to co…
cs.CL2022★ 565 cited
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…