Jaime Sevilla

According to our database, Jaime Sevilla authored at least 14 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

The EU AI Act: A pioneering effort to regulate frontier AI?

Guillem Bas, Claudette Salinas, Roberto Tinoco, Jaime Sevilla

Inteligencia Artif., January, 2024

FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI.

Elliot Glazer, Ege Erdil, Tamay Besiroglu, Diego Chicharro, Evan Chen, Alex Gunning, Caroline Falkman Olsson, Jean-Stanislas Denain, Anson Ho, Emily de Oliveira Santos, Olli Järviniemi, Matthew Barnett, Robert Sandler, Matej Vrzala, Jaime Sevilla, Qiuyu Ren, Elizabeth Pratt, Lionel Levine, Grant Barkley, Natalie Stewart, Bogdan Grechuk, Tetiana Grechuk, Shreepranav Varma Enugandla, Mark Wildon

CoRR, 2024

Algorithmic progress in language models.

Anson Ho, Tamay Besiroglu, Ege Erdil, Zifan Carl Guo, David Owen, Robi Rahman, David Atkinson, Neil Thompson, Jaime Sevilla

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Explaining Bayesian Networks in Natural Language using Factor Arguments. Evaluation in the medical domain.

Jaime Sevilla, Nikolay Babakov, Ehud Reiter, Alberto Bugarín

Proceedings of the First Workshop on Explainable Artificial Intelligence for the Medical Domain (EXPLIMED 2024) co-located with 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

2023

Please Report Your Compute.

Jaime Sevilla, Anson Ho, Tamay Besiroglu

Commun. ACM, May, 2023

Power Law Trends in Speedrunning and Machine Learning.

Ege Erdil, Jaime Sevilla

CoRR, 2023

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

Machine Learning Model Sizes and the Parameter Gap.

Pablo Villalobos, Jaime Sevilla, Tamay Besiroglu, Lennart Heim, Anson Ho, Marius Hobbhahn

CoRR, 2022

Compute Trends Across Three Eras of Machine Learning.

Jaime Sevilla, Lennart Heim, Anson Ho, Tamay Besiroglu, Marius Hobbhahn, Pablo Villalobos

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

Finding, Scoring and Explaining Arguments in Bayesian Networks.

Jaime Sevilla

CoRR, 2021

2020

Forecasting timelines of quantum computing.

Jaime Sevilla, C. Jess Riedel

CoRR, 2020

Explaining data using causal Bayesian networks.

Jaime Sevilla

Proceedings of the 2nd Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, 2020

2019

Implications of Quantum Computing for Artificial Intelligence alignment research.

Jaime Sevilla, Pablo Moreno

CoRR, 2019