Caio Corro

44 papers A* 2A 1B 1Journal 23Unranked 16
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Study on Building Efficient Zero-Shot Relation Extraction Models.
CoRR
Hugo Thomas, Caio Corro, Guillaume Gravier, Pascale Sébillot
2026 — conf
DocPolarBERT: A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures.
EACL (Volume 1: Long Papers)
Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro
2026 J jnl
Fast and General Automatic Differentiation for Finite-State Methods.
CoRR
Lucas Ondel Yang, Tina Raissi, Martin Kocour, Pablo Riera, Caio Corro
2026 — conf
KAD: A Framework for Proxy-based Test-time Alignment with Knapsack Approximation Deferral.
EACL (Volume 1: Long Papers)
Ayoub Hammal, Pierre Zweigenbaum, Caio Corro
2026 J jnl
Suffix-Constrained Greedy Search Algorithms for Causal Language Models.
CoRR
Ayoub Hammal, Pierre Zweigenbaum, Caio Corro
2025 — conf
Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithms.
ACL (1)
Caio Corro, Mathieu Lacroix, Joseph Le Roux
2025 J jnl
Bregman Conditional Random Fields: Sequence Labeling with Parallelizable Inference Algorithms.
CoRR
Caio Corro, Mathieu Lacroix, Joseph Le Roux
2025 J jnl
CroissantLLM: A Truly Bilingual French-English Language Model.
Trans. Mach. Learn. Res.
Manuel Faysse, Patrick Fernandes, Nuno Miguel Guerreiro, António Loison, Duarte M. Alves, Caio Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro Henrique Martins, Antoni Bigata Casademunt, François Yvon, André F. T. Martins, Gautier Viaud, Céline Hudelot, Pierre Colombo
2025 J jnl
Discrete Latent Structure in Neural Networks.
Found. Trends Signal Process.
Vlad Niculae, Caio Corro, Nikita Nangia, Tsvetomila Mihaylova, André F. T. Martins
2025 J jnl
DocPolarBERT: A Pre-trained Model for Document Understanding with Relative Polar Coordinate Encoding of Layout Structures.
CoRR
Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro
2025 J jnl
EuroBERT: Scaling Multilingual Encoders for European Languages.
CoRR
Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, André F. T. Martins, Ayoub Hammal, Caio Corro, Céline Hudelot, Emmanuel Malherbe, Etienne Malaboeuf, Fanny Jourdan, Gabriel Hautreux, João Alves, Kevin El Haddad, Manuel Faysse, Maxime Peyrard, Nuno Miguel Guerreiro, Patrick Fernandes, Ricardo Rei, Pierre Colombo
2025 B conf
Few-shot domain adaptation for named-entity recognition via joint constrained k-means and subspace selection.
COLING
Ayoub Hammal, Benno Uthayasooriyar, Caio Corro
2025 J jnl
Kad: A Framework for Proxy-based Test-time Alignment with Knapsack Approximation Deferral.
CoRR
Ayoub Hammal, Pierre Zweigenbaum, Caio Corro
2025 — conf
Nested Named Entity Recognition as Single-Pass Sequence Labeling.
EMNLP (Findings)
Alberto Muñoz-Ortiz, David Vilares, Caio Corro, Carlos Gómez-Rodríguez
2025 J jnl
Nested Named Entity Recognition as Single-Pass Sequence Labeling.
CoRR
Alberto Muñoz-Ortiz, David Vilares, Caio Corro, Carlos Gómez-Rodríguez
2025 — conf
Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain.
COLING Workshops
Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro
2024 A* conf
A Fast and Sound Tagging Method for Discontinuous Named-Entity Recognition.
EMNLP
Caio Corro
2024 J jnl
A fast and sound tagging method for discontinuous named-entity recognition.
CoRR
Caio Corro
2024 J jnl
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace Selection.
CoRR
Ayoub Hammal, Benno Uthayasooriyar, Caio Corro
2024 — conf
Régression logistique parcimonieuse pour l'extraction automatique de règles de grammaire.
TALN (1)
Santiago Herrera, Caio Corro, Sylvain Kahane
2024 J jnl
SaulLM-7B: A pioneering Large Language Model for Law.
CoRR
Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, André F. T. Martins, Fabrizio Esposito, Vera Lúcia Raposo, Sofia Morgado, Michael Desa
2024 — conf
Sparse Logistic Regression with High-order Features for Automatic Grammar Rule Extraction from Treebanks.
LREC/COLING
Santiago Herrera, Caio Corro, Sylvain Kahane
2024 J jnl
Sparse Logistic Regression with High-order Features for Automatic Grammar Rule Extraction from Treebanks.
CoRR
Santiago Herrera, Caio Corro, Sylvain Kahane
2024 J jnl
Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain.
CoRR
Benno Uthayasooriyar, Antoine Ly, Franck Vermet, Caio Corro
2023 — conf
A dynamic programming algorithm for span-based nested named-entity recognition in O(n²).
ACL (1)
Caio Corro
2023 J jnl
On Graph-based Reentrancy-free Semantic Parsing.
Trans. Assoc. Comput. Linguistics
Alban Petit, Caio Corro
2023 J jnl
On graph-based reentrancy-free semantic parsing.
CoRR
Alban Petit, Caio Corro
2023 A conf
On the inconsistency of separable losses for structured prediction.
EACL
Caio Corro
2023 J jnl
On the inconsistency of separable losses for structured prediction.
CoRR
Caio Corro
2022 J jnl
A dynamic programming algorithm for span-based nested named-entity recognition in O(n^2).
CoRR
Caio Corro
2022 — conf
Un algorithme d'analyse sémantique fondée sur les graphes via le problème de l'arborescence généralisée couvrante (A graph-based semantic parsing algorithm via the generalized spanning arborescence problem).
TALN-RECITAL
Alban Petit, Caio Corro
2021 — conf
Auto-encodeurs variationnels : contrecarrer le problème de posterior collapse grâce à la régularisation du décodeur (Variational auto-encoders : prevent posterior collapse via decoder regularization).
TALN (1)
Alban Petit, Caio Corro
2021 J jnl
Preventing posterior collapse in variational autoencoders for text generation via decoder regularization.
CoRR
Alban Petit, Caio Corro
2020 — conf
Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n\^6) down to O(n\^3).
EMNLP (1)
Caio Corro
2020 J jnl
Span-based discontinuous constituency parsing: a family of exact chart-based algorithms with time complexities from O(n^6) down to O(n^3).
CoRR
Caio Corro
2020 — conf
Sur l'impact des contraintes structurelles pour l'analyse en dépendances profondes fondée sur les graphes (On the impact of structural constraints for graph-based deep dependency parsing).
JEP-TALN-RECITAL (2)
Caio Corro
2019 — conf
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder.
ICLR (Poster)
Caio Corro, Ivan Titov
2019 — conf
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming.
ACL (1)
Caio Corro, Ivan Titov
2019 J jnl
Learning Latent Trees with Stochastic Perturbations and Differentiable Dynamic Programming.
CoRR
Caio Corro, Ivan Titov
2018 J jnl
Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder.
CoRR
Caio Corro, Ivan Titov
2018 — —
Lagrangian Based Approaches for Lexicalized Tree Adjoining Grammar Parsing. (Approches fondées sur la relaxation Lagrangienne pour l'analyse syntaxique avec grammaires d'arbres adjoints).
Caio Corro
2017 A* conf
Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence.
EMNLP
Caio Corro, Joseph Le Roux, Mathieu Lacroix
2017 — conf
Transforming Dependency Structures to LTAG Derivation Trees.
TAG
Caio Corro, Joseph Le Roux
2016 — conf
Dependency Parsing with Bounded Block Degree and Well-nestedness via Lagrangian Relaxation and Branch-and-Bound.
ACL (1)
Caio Corro, Joseph Le Roux, Mathieu Lacroix, Antoine Rozenknop, Roberto Wolfler Calvo