Claudio Pinhanez
7 papers · 2020–2026 · 4 venues · across top CS/AI venues
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Conference Polyglot Β· Bronze
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Silver
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Research topics
Machine Learning
(7)
Natural Language Processing
(6)
Applications
(6)
Learning Types
(4)
Artificial Intelligence
(3)
Core Methods
(3)
Deep Learning
(2)
Architectures
(2)
Core AI
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Data Science & Analytics
(1)
Interdisciplinary
(1)
Application Areas
(1)
Generation
(1)
Keywords
semantic similarity
(2)
out-of-scope detection
(2)
text classification
(2)
embedding learning
(1)
intent classification
(1)
multilingual machine translation
(1)
text generation
(1)
graph embedding
(1)
seq2seq model
(1)
low-resource language
(1)
text embedding
(1)
transformer neural network
(1)
multiple choice
(1)
model reliability
(1)
intent recognition
(1)
sequence-to-sequence model
(1)
parallel data
(1)
medical question answering
(1)
multilingual text classification
(1)
machine translation
(1)
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
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