Felipe Maia Polo

31 papers A* 7A 1C 1Journal 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Rich Insights from Cheap Signals: Efficient Evaluations via Tensor Factorization.
CoRR
Felipe Maia Polo, Aida Nematzadeh, Virginia Aglietti, Adam Fisch, Isabela Albuquerque
2025 J jnl
A Latent Variable Framework for Scaling Laws in Large Language Models.
CoRR
Peiyao Cai, Chengyu Cui, Felipe Maia Polo, Seamus Somerstep, Leshem Choshen, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun, Kean Ming Tan, Gongjun Xu
2025 A* conf
A transfer learning framework for weak to strong generalization.
ICLR
Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun
2025 J jnl
Bridging Human and LLM Judgments: Understanding and Narrowing the Gap.
CoRR
Felipe Maia Polo, Xinhe Wang, Mikhail Yurochkin, Gongjun Xu, Moulinath Banerjee, Yuekai Sun
2025 J jnl
CARROT: A Cost Aware Rate Optimal Router.
CoRR
Seamus Somerstep, Felipe Maia Polo, Allysson Flavio Melo de Oliveira, Prattyush Mangal, Mírian Silva, Onkar Bhardwaj, Mikhail Yurochkin, Subha Maity
2025 J jnl
COMET-poly: Machine Translation Metric Grounded in Other Candidates.
CoRR
Maike Züfle, Vilém Zouhar, Tu Anh Dinh, Felipe Maia Polo, Jan Niehues, Mrinmaya Sachan
2025 A* conf
LiveXiv - A Multi-Modal live benchmark based on Arxiv papers content.
ICLR
Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes
2025 A conf
Microfoundation inference for strategic prediction.
AISTATS
Daniele Bracale, Subha Maity, Felipe Maia Polo, Seamus Somerstep, Moulinath Banerjee, Yuekai Sun
2025 J jnl
Recommendations Beyond Catalogs: Diffusion Models for Personalized Generation.
CoRR
Gabriel Patron, Zhiwei Xu, Ishan Kapnadak, Felipe Maia Polo
2024 J jnl
A statistical framework for weak-to-strong generalization.
CoRR
Seamus Somerstep, Felipe Maia Polo, Moulinath Banerjee, Yaacov Ritov, Mikhail Yurochkin, Yuekai Sun
2024 A* conf
Efficient multi-prompt evaluation of LLMs.
NeurIPS
Felipe Maia Polo, Ronald Xu, Lucas Weber, Mírian Silva, Onkar Bhardwaj, Leshem Choshen, Allysson Flavio Melo de Oliveira, Yuekai Sun, Mikhail Yurochkin
2024 J jnl
Efficient multi-prompt evaluation of LLMs.
CoRR
Felipe Maia Polo, Ronald Xu, Lucas Weber, Mírian Silva, Onkar Bhardwaj, Leshem Choshen, Allysson Flavio Melo de Oliveira, Yuekai Sun, Mikhail Yurochkin
2024 A* conf
Fusing Models with Complementary Expertise.
ICLR
Hongyi Wang, Felipe Maia Polo, Yuekai Sun, Souvik Kundu, Eric P. Xing, Mikhail Yurochkin
2024 J jnl
LiveXiv - A Multi-Modal Live Benchmark Based on Arxiv Papers Content.
CoRR
Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes
2024 J jnl
Microfoundation Inference for Strategic Prediction.
CoRR
Daniele Bracale, Subha Maity, Felipe Maia Polo, Seamus Somerstep, Moulinath Banerjee, Yuekai Sun
2024 J jnl
Sloth: scaling laws for LLM skills to predict multi-benchmark performance across families.
CoRR
Felipe Maia Polo, Seamus Somerstep, Leshem Choshen, Yuekai Sun, Mikhail Yurochkin
2024 A* conf
Weak Supervision Performance Evaluation via Partial Identification.
NeurIPS
Felipe Maia Polo, Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
2024 A* conf
tinyBenchmarks: evaluating LLMs with fewer examples.
ICML
Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin
2024 J jnl
tinyBenchmarks: evaluating LLMs with fewer examples.
CoRR
Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin
2023 J jnl
A unified framework for dataset shift diagnostics.
Inf. Sci.
Felipe Maia Polo, Rafael Izbicki, Evanildo G. Lacerda Jr., Juan Pablo Ibieta-Jimenez, Renato Vicente
2023 A* conf
Conditional independence testing under misspecified inductive biases.
NeurIPS
Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee
2023 J jnl
Conditional independence testing under model misspecification.
CoRR
Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee
2023 J jnl
Effective sample size, dimensionality, and generalization in covariate shift adaptation.
Neural Comput. Appl.
Felipe Maia Polo, Renato Vicente
2023 J jnl
Estimating Fréchet bounds for validating programmatic weak supervision.
CoRR
Felipe Maia Polo, Mikhail Yurochkin, Moulinath Banerjee, Subha Maity, Yuekai Sun
2023 J jnl
Fusing Models with Complementary Expertise.
CoRR
Hongyi Wang, Felipe Maia Polo, Yuekai Sun, Souvik Kundu, Eric P. Xing, Mikhail Yurochkin
2022 J jnl
A unified framework for dataset shift diagnostics.
CoRR
Felipe Maia Polo, Rafael Izbicki, Evanildo Gomes Lacerda Jr., Juan Pablo Ibieta-Jimenez, Renato Vicente
2021 J jnl
Effects of personality traits in predicting grade retention of Brazilian students.
CoRR
Carmen Melo Toledo, Guilherme Mendes Bassedon, Jonathan Batista Ferreira, Lucka de Godoy Gianvechio, Carlos Guatimosim, Felipe Maia Polo, Renato Vicente
2021 J jnl
LegalNLP - Natural Language Processing methods for the Brazilian Legal Language.
CoRR
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
2021 C conf
Predicting legal proceedings status: approaches based on sequential text data.
ICAIL
Felipe Maia Polo, Itamar Ciochetti, Emerson Bertolo
2020 J jnl
Covariate Shift Adaptation in High-Dimensional and Divergent Distributions.
CoRR
Felipe Maia Polo, Renato Vicente
2020 J jnl
Predicting Legal Proceedings Status: an Approach Based on Sequential Text Data.
CoRR
Felipe Maia Polo, Itamar Ciochetti, Emerson Bertolo