Predicting Legal Proceedings Status: an Approach Based on Sequential Text Data. - Felipe Maia Polo; Itamar Ciochetti; Emerson Bertolo (CoRR, 2020)

Covariate Shift Adaptation in High-Dimensional and Divergent Distributions. - Felipe Maia Polo; Renato Vicente (CoRR, 2020)

Predicting legal proceedings status: approaches based on sequential text data. - Felipe Maia Polo; Itamar Ciochetti; Emerson Bertolo (ICAIL, 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)

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)

Conditional independence testing under misspecified inductive biases. - Felipe Maia Polo; Yuekai Sun; Moulinath Banerjee (NeurIPS, 2023)

Conditional independence testing under model misspecification. - Felipe Maia Polo; Yuekai Sun; Moulinath Banerjee (CoRR, 2023)

Estimating Fréchet bounds for validating programmatic weak supervision. - Felipe Maia Polo; Mikhail Yurochkin; Moulinath Banerjee; Subha Maity; Yuekai Sun (CoRR, 2023)

Effective sample size, dimensionality, and generalization in covariate shift adaptation. - Felipe Maia Polo; Renato Vicente (Neural Comput. Appl., 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., 2023)

Fusing Models with Complementary Expertise. - Hongyi Wang 001; Felipe Maia Polo; Yuekai Sun; Souvik Kundu 009; Eric P. Xing; Mikhail Yurochkin (ICLR, 2024)

tinyBenchmarks: evaluating LLMs with fewer examples. - Felipe Maia Polo; Lucas Weber; Leshem Choshen; Yuekai Sun; Gongjun Xu; Mikhail Yurochkin (ICML, 2024)

Weak Supervision Performance Evaluation via Partial Identification. - Felipe Maia Polo; Subha Maity; Mikhail Yurochkin; Moulinath Banerjee; Yuekai Sun (NeurIPS, 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 (NeurIPS, 2024)

A statistical framework for weak-to-strong generalization. - Seamus Somerstep; Felipe Maia Polo; Moulinath Banerjee; Yaacov Ritov; Mikhail Yurochkin; Yuekai Sun (CoRR, 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)

Microfoundation inference for strategic prediction. - Daniele Bracale; Subha Maity; Felipe Maia Polo; Seamus Somerstep; Moulinath Banerjee; Yuekai Sun (AISTATS, 2025)

LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content. - Nimrod Shabtay; Felipe Maia Polo; Sivan Doveh; Wei Lin 019; Muhammad Jehanzeb Mirza; Leshem Choshen; Mikhail Yurochkin; Yuekai Sun; Assaf Arbelle; Leonid Karlinsky; Raja Giryes (ICLR, 2025)

A transfer learning framework for weak to strong generalization. - Seamus Somerstep; Felipe Maia Polo; Moulinath Banerjee; Yaacov Ritov; Mikhail Yurochkin; Yuekai Sun (ICLR, 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, 2025)

Recommendations Beyond Catalogs: Diffusion Models for Personalized Generation. - Gabriel Patron; Zhiwei Xu; Ishan Kapnadak; Felipe Maia Polo (CoRR, 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, 2025)

COMET-poly: Machine Translation Metric Grounded in Other Candidates. - Maike Züfle; Vilém Zouhar; Tu Anh Dinh; Felipe Maia Polo; Jan Niehues; Mrinmaya Sachan (CoRR, 2025)