Compute Trends Across Three Eras of Machine Learning. - Jaime Sevilla; Lennart Heim; Anson Ho; Tamay Besiroglu; Marius Hobbhahn; Pablo Villalobos (IJCNN, 2022)

Machine Learning Model Sizes and the Parameter Gap. - Pablo Villalobos; Jaime Sevilla; Tamay Besiroglu; Lennart Heim; Anson Ho; Marius Hobbhahn (CoRR, 2022)

Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning. - Pablo Villalobos; Jaime Sevilla; Lennart Heim; Tamay Besiroglu; Marius Hobbhahn; Anson Ho (CoRR, 2022)

AI capabilities can be significantly improved without expensive retraining. - Tom Davidson; Jean-Stanislas Denain; Pablo Villalobos; Guillem Bas (CoRR, 2023)

Position: Will we run out of data? Limits of LLM scaling based on human-generated data. - Pablo Villalobos; Anson Ho; Jaime Sevilla; Tamay Besiroglu; Lennart Heim; Marius Hobbhahn (ICML, 2024)

Defending Compute Thresholds Against Legal Loopholes. - Matteo Pistillo; Pablo Villalobos (CoRR, 2025)