Felipe Maia Polo

According to our database, Felipe Maia Polo authored at least 22 papers between 2020 and 2025.

Collaborative distances:

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

2025

Bridging Human and LLM Judgments: Understanding and Narrowing the Gap.

Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin, Gongjun Xu, Moulinath Banerjee, Yuekai Sun

CoRR, August, 2025

Recommendations Beyond Catalogs: Diffusion Models for Personalized Generation.

Gabriel Patron, Zhiwei Xu, Ishan Kapnadak, Felipe Maia Polo

CoRR, February, 2025

CARROT: A Cost Aware Rate Optimal Router.

Seamus Somerstep, Felipe Maia Polo, Allysson Flavio Melo de Oliveira, Prattyush Mangal, Mírian Silva, Onkar Bhardwaj, Mikhail Yurochkin, Subha Maity

CoRR, February, 2025

A transfer learning framework for weak to strong generalization.

Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content.

Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Microfoundation inference for strategic prediction.

Daniele Bracale, Subha Maity, Felipe Maia Polo, Seamus Somerstep, Moulinath Banerjee, Yuekai Sun

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families.

Felipe Maia Polo, Seamus Somerstep, Leshem Choshen, Yuekai Sun, Mikhail Yurochkin

CoRR, 2024

A statistical framework for weak-to-strong generalization.

Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun

CoRR, 2024

Efficient multi-prompt evaluation of LLMs.

Felipe Maia Polo, Ronald Xu, Lucas Weber, Mírian Silva, Onkar Bhardwaj, Leshem Choshen, Allysson Flavio Melo de Oliveira, Yuekai Sun, Mikhail Yurochkin

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

Weak Supervision Performance Evaluation via Partial Identification.

Felipe Maia Polo, Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun

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

tinyBenchmarks: evaluating LLMs with fewer examples.

Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin

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

Fusing Models with Complementary Expertise.

Hongyi Wang, Felipe Maia Polo, Yuekai Sun, Souvik Kundu, Eric P. Xing, Mikhail Yurochkin

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A unified framework for dataset shift diagnostics.

Felipe Maia Polo, Rafael Izbicki, Evanildo G. Lacerda Jr., Juan Pablo Ibieta-Jimenez, Renato Vicente

Inf. Sci., November, 2023

Effective sample size, dimensionality, and generalization in covariate shift adaptation.

Felipe Maia Polo, Renato Vicente

Neural Comput. Appl., September, 2023

Estimating Fréchet bounds for validating programmatic weak supervision.

Felipe Maia Polo, Mikhail Yurochkin, Moulinath Banerjee, Subha Maity, Yuekai Sun

CoRR, 2023

Conditional independence testing under model misspecification.

Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee

CoRR, 2023

Conditional independence testing under misspecified inductive biases.

Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

LegalNLP - Natural Language Processing methods for the Brazilian Legal Language.

Felipe Maia Polo, Gabriel Caiaffa Floriano Mendonça, Kauê Capellato J. Parreira, Lucka de Godoy Gianvechio, Peterson Cordeiro, Jonathan Batista Ferreira, Leticia Maria Paz de Lima, Antônio Carlos do Amaral Maia, Renato Vicente

CoRR, 2021

Effects of personality traits in predicting grade retention of Brazilian students.

Carmen Melo Toledo, Guilherme Mendes Bassedon, Jonathan Batista Ferreira, Lucka de Godoy Gianvechio, Carlos Guatimosim, Felipe Maia Polo, Renato Vicente

CoRR, 2021

Predicting legal proceedings status: approaches based on sequential text data.

Felipe Maia Polo, Itamar Ciochetti, Emerson Bertolo

Proceedings of the ICAIL '21: Eighteenth International Conference for Artificial Intelligence and Law, São Paulo Brazil, June 21, 2021

2020

Covariate Shift Adaptation in High-Dimensional and Divergent Distributions.

Felipe Maia Polo, Renato Vicente

CoRR, 2020

Predicting Legal Proceedings Status: an Approach Based on Sequential Text Data.

Felipe Maia Polo, Itamar Ciochetti, Emerson Bertolo

CoRR, 2020