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ORCIDLucas Monteiro Paes
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2020 – today
- 2025
[c8]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:
Multi-Level Explanations for Generative Language Models. ACL (1) 2025: 32291-32317- [c7]Maarten Buyl
, Hadi Khalaf, Claudio Mayrink Verdun, Lucas Monteiro Paes, Caio Cesar Vieira Machado, Flávio du Pin Calmon:
AI Alignment at Your Discretion. FAccT 2025: 3046-3074 - [i9]Maarten Buyl, Hadi Khalaf, Claudio Mayrink Verdun, Lucas Monteiro Paes, Caio Vieira Machado, Flávio P. Calmon:
AI Alignment at Your Discretion. CoRR abs/2502.10441 (2025) - [i8]Dennis Wei, Ronny Luss, Xiaomeng Hu, Lucas Monteiro Paes, Pin-Yu Chen, Karthikeyan Natesan Ramamurthy, Erik Miehling, Inge Vejsbjerg, Hendrik Strobelt:
ICX360: In-Context eXplainability 360 Toolkit. CoRR abs/2511.10879 (2025) - [i7]Lucas Monteiro Paes, Nivedha Sivakumar, Yinong Oliver Wang, Masha Fedzechkina Donaldson, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff:
DSO: Direct Steering Optimization for Bias Mitigation. CoRR abs/2512.15926 (2025) - 2024
- [j1]Lucas Monteiro Paes, Ananda Theertha Suresh, Alex Beutel, Flávio P. Calmon, Ahmad Beirami:
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing. IEEE J. Sel. Areas Inf. Theory 5: 659-674 (2024) - [c6]Juan Felipe Gómez, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon:
Algorithmic Arbitrariness in Content Moderation. FAccT 2024: 2234-2253 - [c5]Alex Oesterling, Claudio Mayrink Verdun, Alexander Glynn, Carol Xuan Long, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon:
Multi-Group Proportional Representation in Retrieval. NeurIPS 2024 - [c4]Lucas Monteiro Paes, Dennis Wei, Flávio P. Calmon:
Selective Explanations. NeurIPS 2024 - [i6]Juan Felipe Gómez, Caio Vieira Machado, Lucas Monteiro Paes, Flávio P. Calmon:
Algorithmic Arbitrariness in Content Moderation. CoRR abs/2402.16979 (2024) - [i5]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:
Multi-Level Explanations for Generative Language Models. CoRR abs/2403.14459 (2024) - [i4]Lucas Monteiro Paes, Dennis Wei, Flávio P. Calmon:
Selective Explanations. CoRR abs/2405.19562 (2024) - [i3]Alex Oesterling, Claudio Mayrink Verdun, Carol Xuan Long, Alexander Glynn, Lucas Monteiro Paes, Sajani Vithana, Martina Cardone, Flávio P. Calmon:
Multi-Group Proportional Representation. CoRR abs/2407.08571 (2024) - 2023
- [c3]Daniel Csillag, Lucas Monteiro Paes, Thiago Ramos, João Vitor Romano, Rodrigo Schuller, Roberto de Beauclair Seixas, Roberto I. Oliveira, Paulo Orenstein:
AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification. AAAI 2023: 15494-15502 - [c2]Lucas Monteiro Paes, Rodrigo Cruz, Flávio P. Calmon, Mario Díaz:
On the Inevitability of the Rashomon Effect. ISIT 2023: 549-554 - [i2]Alexander Lin, Lucas Monteiro Paes, Sree Harsha Tanneru, Suraj Srinivas, Himabindu Lakkaraju:
Word-Level Explanations for Analyzing Bias in Text-to-Image Models. CoRR abs/2306.05500 (2023) - [i1]Lucas Monteiro Paes, Ananda Theertha Suresh, Alex Beutel, Flávio P. Calmon, Ahmad Beirami:
Multi-Group Fairness Evaluation via Conditional Value-at-Risk Testing. CoRR abs/2312.03867 (2023) - 2022
- [c1]Lucas Monteiro Paes, Carol Xuan Long, Berk Ustun, Flávio P. Calmon:
On the Epistemic Limits of Personalized Prediction. NeurIPS 2022
Coauthor Index
aka: Flávio du Pin Calmon
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