Search Results for author: Felipe Maia Polo

Found 9 papers, 7 papers with code

tinyBenchmarks: evaluating LLMs with fewer examples

2 code implementations22 Feb 2024 Felipe Maia Polo, Lucas Weber, Leshem Choshen, Yuekai Sun, Gongjun Xu, Mikhail Yurochkin

The versatility of large language models (LLMs) led to the creation of diverse benchmarks that thoroughly test a variety of language models' abilities.

Multiple-choice

Estimating Fréchet bounds for validating programmatic weak supervision

no code implementations7 Dec 2023 Felipe Maia Polo, Mikhail Yurochkin, Moulinath Banerjee, Subha Maity, Yuekai Sun

We develop methods for estimating Fr\'echet bounds on (possibly high-dimensional) distribution classes in which some variables are continuous-valued.

Fusing Models with Complementary Expertise

no code implementations2 Oct 2023 Hongyi Wang, Felipe Maia Polo, Yuekai Sun, Souvik Kundu, Eric Xing, Mikhail Yurochkin

Training AI models that generalize across tasks and domains has long been among the open problems driving AI research.

Multiple-choice text-classification +2

Conditional independence testing under misspecified inductive biases

1 code implementation NeurIPS 2023 Felipe Maia Polo, Yuekai Sun, Moulinath Banerjee

Conditional independence (CI) testing is a fundamental and challenging task in modern statistics and machine learning.

regression

A unified framework for dataset shift diagnostics

2 code implementations17 May 2022 Felipe Maia Polo, Rafael Izbicki, Evanildo Gomes Lacerda Jr, Juan Pablo Ibieta-Jimenez, Renato Vicente

It is versatile, suitable for regression and classification tasks, and accommodates diverse data forms - tabular, text, or image.

Transfer Learning

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

1 code implementation5 Oct 2021 Felipe Maia Polo, Gabriel Caiaffa Floriano Mendonça, Kauê Capellato J. Parreira, Lucka Gianvechio, Peterson Cordeiro, Jonathan Batista Ferreira, Leticia Maria Paz de Lima, Antônio Carlos do Amaral Maia, Renato Vicente

We present and make available pre-trained language models (Phraser, Word2Vec, Doc2Vec, FastText, and BERT) for the Brazilian legal language, a Python package with functions to facilitate their use, and a set of demonstrations/tutorials containing some applications involving them.

Effective Sample Size, Dimensionality, and Generalization in Covariate Shift Adaptation

1 code implementation2 Oct 2020 Felipe Maia Polo, Renato Vicente

Hence, in this paper, we focus on building a unified view connecting the ESS, data dimensionality, and generalization in the context of covariate shift adaptation.

Dimensionality Reduction Domain Adaptation +2

Predicting Legal Proceedings Status: Approaches Based on Sequential Text Data

1 code implementation13 Mar 2020 Felipe Maia Polo, Itamar Ciochetti, Emerson Bertolo

The objective of this paper is to develop predictive models to classify Brazilian legal proceedings in three possible classes of status: (i) archived proceedings, (ii) active proceedings, and (iii) suspended proceedings.

BIG-bench Machine Learning General Classification

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