Lucas Monteiro Paes

According to our database, Lucas Monteiro Paes authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

AI Alignment at Your Discretion.

Maarten Buyl, Hadi Khalaf, Claudio Mayrink Verdun, Lucas Monteiro Paes, Caio Cesar Vieira Machado, Flávio du Pin Calmon

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Multi-Level Explanations for Generative Language Models.

Lucas Monteiro Paes, Dennis Wei, Hyo Jin Do, Hendrik Strobelt, Ronny Luss, Amit Dhurandhar, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Werner Geyer, Soumya Ghosh

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing.

Lucas Monteiro Paes, Ananda Theertha Suresh, Alex Beutel, Flávio P. Calmon, Ahmad Beirami

IEEE J. Sel. Areas Inf. Theory, 2024

Multi-Group Proportional Representation.

Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alexander Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon

CoRR, 2024

Selective Explanations.

Lucas Monteiro Paes, Dennis Wei, Flávio P. Calmon

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

Multi-Group Proportional Representation in Retrieval.

Alex Oesterling, Claudio Mayrink Verdun, Alexander Glynn, Carol Xuan Long, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon

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

Algorithmic Arbitrariness in Content Moderation.

Juan Felipe Gómez, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

Word-Level Explanations for Analyzing Bias in Text-to-Image Models.

Alexander Lin, Lucas Monteiro Paes, Sree Harsha Tanneru, Suraj Srinivas, Himabindu Lakkaraju

CoRR, 2023

On the Inevitability of the Rashomon Effect.

Lucas Monteiro Paes, Rodrigo Cruz, Flávio P. Calmon, Mario Díaz

Proceedings of the IEEE International Symposium on Information Theory, 2023

AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification.

Daniel Csillag, Lucas Monteiro Paes, Thiago Ramos, João Vitor Romano, Rodrigo Schuller, Roberto de Beauclair Seixas, Roberto I. Oliveira, Paulo Orenstein

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On the Epistemic Limits of Personalized Prediction.

Lucas Monteiro Paes, Carol Xuan Long, Berk Ustun, Flávio P. Calmon

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022