Ricardo Dominguez-Olmedo

According to our database, Ricardo Dominguez-Olmedo authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Computational Arbitrage in AI Model Markets.

Ricardo Dominguez-Olmedo, Bernhard Schölkopf, Moritz Hardt

CoRR, March, 2026

2025

MATH-Beyond: A Benchmark for RL to Expand Beyond the Base Model.

Prasanna Mayilvahanan, Ricardo Dominguez-Olmedo, Thaddäus Wiedemer, Wieland Brendel

CoRR, October, 2025

Train-before-Test Harmonizes Language Model Rankings.

Guanhua Zhang, Ricardo Dominguez-Olmedo, Moritz Hardt

CoRR, July, 2025

Lawma: The Power of Specialization for Legal Annotation.

Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Training on the Test Task Confounds Evaluation and Emergence.

Ricardo Dominguez-Olmedo, Florian E. Dorner, Moritz Hardt

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Lawma: The Power of Specialization for Legal Tasks.

Ricardo Dominguez-Olmedo, Vedant Nanda, Rediet Abebe, Stefan Bechtold, Christoph Engel, Jens Frankenreiter, Krishna P. Gummadi, Moritz Hardt, Michael Livermore

CoRR, 2024

Questioning the Survey Responses of Large Language Models.

Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

On Data Manifolds Entailed by Structural Causal Models.

Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis, Bernhard Schölkopf

Proceedings of the International Conference on Machine Learning, 2023

2022

On the Adversarial Robustness of Causal Algorithmic Recourse.

Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Bernhard Schölkopf

Proceedings of the International Conference on Machine Learning, 2022