Update cookies preferences
 logo Idiap Research Institute        
Andre Freitas
First name(s): Andre
Last name(s): Freitas
Email: andre.freitas@idiap.ch
Institute: Idiap Research Institute

Publications of Andre Freitas sorted by first author
| 1 | 2 | 3 |


A

TRACE: Training and Inference-Time Interpretability Analysis for Language Models, Nura Aljaafari, Danilo Carvalho and Andre Freitas, in: Demonstration at the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

B

Cost–effective Variational Active Entity Resolution, Alex Bogatu, Norman Paton, Mark Douthwaite, Stuart Davie and Andre Freitas, in: 37th IEEE International Conference on Data Engineering (ICDE), 2021
[URL]
Voyager: Data Discovery for Onboarding in Data Science, Alex Bogatu, Norman Paton, Mark Douthwaite and Andre Freitas, in: 37th IEEE International Conference on Data Engineering (ICDE), 2022

C

Learning Disentangled Representations for Natural Language Definitions, Danilo Carvalho, Giangiacomo Mercatali, Yingji Zhang and Andre Freitas, in: In Findings of the European chapter of Association for Computational Linguistics, 2023
attachment
LangVAE and LangSpace: Building and Probing for Language Model VAEs, Danilo Carvalho, Yingji Zhang, Harriet Unsworth and Andre Freitas, in: Demonstration at the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025

D

Inference to the Best Explanation in Large Language Models, Dhairya Dalal, Marco Valentino, Andre Freitas and Paul Buitelaar, in: In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024
Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs, Maxime Delmas, Magdalena Wysocka, Danilo Gusicuma and Andre Freitas, in: 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, pages 693–705, Association for Computational Linguistics, 2025
[DOI]
[URL]

F

Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models, Andre Freitas and Leonardo Ranaldi, in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

G

Inductive Learning of Logical Theories with LLMs: A Complexity-graded Analysis, João Gandarela, Danilo Carvalho and Andre Freitas, in: The 39th Annual AAAI Conference on Artificial Intelligence, 2025

J

SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials, Mael Jullien, Marco Valentino and Andre Freitas, in: In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Association for Computational Linguistics, 2023
[DOI]
[URL]
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports, Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Reagan, Donal Landers and Andre Freitas, in: Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023

K


L


M

Why Scholars Are Diagramming Neural Network Models, Guy Marshall, Caroline Jay and Andre Freitas, in: 13th International Conference on the Theory and Application of Diagrams, 2022
Switching Contexts: Transportability Measures for NLP, Guy Marshall, Mokanarangan Thayaparan, Philip Osborne and Andre Freitas, in: 14th International Conference on Computational Semantics, 2021
[URL]
A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers, Jordan Meadows, Marco Valentino, Damien Teney and Andre Freitas, in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024
[URL]
STAR: Cross-modal Statement Representation for Selecting Relevant Mathematical Premises, Deborah Mendes and Andre Freitas, in: 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Does My Representation Capture X? Probe-Ably, Deborah Mendes, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino and Andre Freitas, in: 59th Annual Meeting of the Association for Computational Linguistics (Demonstration track), 2021
[URL]
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders, Giangiacomo Mercatali and Andre Freitas, in: The 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series, Giangiacomo Mercatali, Andre Freitas and Jie Chen, in: Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024
Symmetry-induced Disentanglement on Graphs, Giangiacomo Mercatali, Vikas Garg and Andre Freitas, in: Advances in Neural Information Processing Systems 35, 2022
Diffusion Twigs with Loop Guidance for Conditional Graph Generation, Giangiacomo Mercatali, Yogesh Verma, Andre Freitas and Vikas Garg, in: Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024
| 1 | 2 | 3 |