Paulo Cavalin
10 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(9)
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Keywords
out-of-scope detection
(3)
machine translation
(2)
indigenous language
(2)
intent classification
(2)
semantic similarity
(2)
text classification
(2)
responsible ai
(1)
low-resource language
(1)
embedding learning
(1)
parallel data
(1)
graph embedding
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text embedding
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transformer neural network
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multiple choice
(1)
intent recognition
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multilingual text classification
(1)
sequence-to-sequence model
(1)
one-hot encoding
(1)
model reliability
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multilingual machine translation
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Papers
Small Models Exhibit Limited Answer Consistency in Repetition Trials of the Multiple-Choice MMLU-Redux and MedQA Benchmarks
AAAI 2026
Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation
AAAI 2025
Fixing Rogue Memorization in Many-to-One Multilingual Translators of Extremely-Low-Resource Languages by Rephrasing Training Samples
NAACL 2024
Quantifying the Ethical Dilemma of Using Culturally Toxic Training Data in AI Tools for Indigenous Languages
COLING 2024
Theoretical and Empirical Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Open-World Scenarios
COLING 2024
Balancing Social Impact, Opportunities, and Ethical Constraints of Using AI in the Documentation and Vitalization of Indigenous Languages
IJCAI 2023
Understanding Native Language Identification for Brazilian Indigenous Languages
ACL 2023
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Conversational Systems
ACL 2021
From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer
EMNLP 2020
Improving Out-of-Scope Detection in Intent Classification by Using Embeddings of the Word Graph Space of the Classes
EMNLP 2020