André Freitas

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 201

Top Venues

Publications

Marco Valentino, Danilo S. Carvalho, André Freitas
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions. EACL (1) (2024)
Marco Valentino, Jordan Meadows, Lan Zhang, André Freitas
Multi-Operational Mathematical Derivations in Latent Space. NAACL-HLT (2024)
Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
A survey of safety and trustworthiness of large language models through the lens of verification and validation. Artif. Intell. Rev. 57 (7) (2024)
Jordan Meadows, Tamsin James, André Freitas
Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions. CoRR (2024)
Jordan Meadows, Marco Valentino, Damien Teney, André Freitas
A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers. NAACL-HLT (2024)
Dhairya Dalal, Marco Valentino, André Freitas, Paul Buitelaar
Inference to the Best Explanation in Large Language Models. CoRR (2024)
Xin Quan, Marco Valentino, Louise A. Dennis, André Freitas
Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving. CoRR (2024)
Leonardo Ranaldi, André Freitas
Aligning Large and Small Language Models via Chain-of-Thought Reasoning. EACL (1) (2024)
Xin Quan, Marco Valentino, Louise A. Dennis, André Freitas
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement. CoRR (2024)
Julia Rozanova, Marco Valentino, André Freitas
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models. CoRR (2024)
Mokanarangan Thayaparan, Marco Valentino, André Freitas
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference. LREC/COLING (2024)
Oskar Wysocki, Magdalena Wysocka, Danilo Carvalho, Alex Teodor Bogatu, Danilo Miranda Gusicuma, Maxime Delmas, Harriet Unsworth, André Freitas
An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery. CoRR (2024)
Leonardo Ranaldi, Giulia Pucci, André Freitas
Empowering cross-lingual abilities of instruction-tuned large language models by translation-following demonstrations. ACL (Findings) (2024)
Yingji Zhang, Danilo Carvalho, André Freitas
Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks. ACL (1) (2024)
Dhairya Dalal, Marco Valentino, André Freitas, Paul Buitelaar
Inference to the Best Explanation in Large Language Models. ACL (1) (2024)
Hafiz Tayyab Rauf, André Freitas, Norman W. Paton
TableDC: Deep Clustering for Tabular Data. CoRR (2024)
Julia Rozanova, Marco Valentino, André Freitas
Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models. LREC/COLING (2024)
Xin Quan, Marco Valentino, Louise A. Dennis, André Freitas
Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement. EACL (1) (2024)
Mokanarangan Thayaparan, Marco Valentino, André Freitas
A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference. CoRR (2024)
Yingji Zhang, Danilo S. Carvalho, Marco Valentino, Ian Pratt-Hartmann, André Freitas
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders. CoRR (2024)
Yingji Zhang, Danilo S. Carvalho, Marco Valentino, Ian Pratt-Hartmann, André Freitas
Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders. EACL (Findings) (2024)
Maël Jullien, Marco Valentino, André Freitas
SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials. CoRR (2024)
Hafiz Tayyab Rauf, André Freitas, Norman W. Paton
Deep Clustering for Data Cleaning and Integration. EDBT (2024)
Leonardo Ranaldi, André Freitas
Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models. CoRR (2024)
Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data. CoRR (2023)
André Freitas, Francisco Fernandes, Mara Dionísio, Sandra Câmara Olim
Mystery in the Ecological Park: An Interactive Narrative to Promote Interaction with Biodiversity. ICEC (2023)
Marco Valentino, Danilo S. Carvalho, André Freitas
Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions. CoRR (2023)
Jordan Meadows, André Freitas
Introduction to Mathematical Language Processing: Informal Proofs, Word Problems, and Supporting Tasks. Trans. Assoc. Comput. Linguistics 11 (2023)
Yingji Zhang, Danilo S. Carvalho, Ian Pratt-Hartmann, André Freitas
Towards Controllable Natural Language Inference through Lexical Inference Types. CoRR (2023)
Julia Rozanova, Marco Valentino, Lucas C. Cordeiro, André Freitas
Interventional Probing in High Dimensions: An NLI Case Study. EACL (Findings) (2023)
Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas
SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data. SemEval@ACL (2023)
Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Dónal Landers, André Freitas
Transformers and the Representation of Biomedical Background Knowledge. Comput. Linguistics 49 (1) (2023)
Danilo Silva de Carvalho, Giangiacomo Mercatali, Yingji Zhang, André Freitas
Learning Disentangled Representations for Natural Language Definitions. EACL (Findings) (2023)
Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Dónal Landers, André Freitas
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data. BMC Bioinform. 24 (1) (2023)
Magdalena Wysocka, Oskar Wysocki, Maxime Delmas, Vincent Mutel, André Freitas
Large Language Models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery. CoRR (2023)
Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Dónal Landers, André Freitas
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports. EMNLP (2023)
Maxime Delmas, Magdalena Wysocka, André Freitas
Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approach. CoRR (2023)
Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh
A Canonical Context-Preserving Representation for Open IE: Extracting Semantically Typed Relational Tuples from Complex Sentences. Knowl. Based Syst. 268 (2023)
Yingji Zhang, Marco Valentino, Danilo S. Carvalho, Ian Pratt-Hartmann, André Freitas
Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders. CoRR (2023)
Hafiz Tayyab Rauf, Norman W. Paton, André Freitas
Deep Clustering for Data Cleaning and Integration. CoRR (2023)
Jordan Meadows, Marco Valentino, André Freitas
Generating Mathematical Derivations with Large Language Models. CoRR (2023)
Oskar Wysocki, Jessica Katharine Davies, Markel Vigo, Anne Caroline Armstrong, Dónal Landers, Rebecca Lee, André Freitas
Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making. Artif. Intell. 316 (2023)
Alex Bogatu, Magdalena Wysocka, Oskar Wysocki, Holly Butterworth, Manon Pillai, Jennifer Allison, Dónal Landers, Elaine Kilgour, Fiona Thistlethwaite, André Freitas
Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy. J. Biomed. Informatics 142 (2023)
Maël Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers, André Freitas
NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports. CoRR (2023)
Yingji Zhang, Danilo S. Carvalho, Ian Pratt-Hartmann, André Freitas
LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent Sentence Spaces. CoRR (2023)
Hanadi Mardah, Oskar Wysocki, Markel Vigo, André Freitas
On the Visualisation of Argumentation Graphs to Support Text Interpretation. CoRR (2023)
Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR (2023)
Yingji Zhang, Danilo S. Carvalho, Ian Pratt-Hartmann, André Freitas
Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks. CoRR (2023)
Mario Ramirez, Alex Bogatu, Norman W. Paton, André Freitas
Transformers, Tables and Frame Semantics. ICSC (2023)
Julia Rozanova, Marco Valentino, Lucas C. Cordeiro, André Freitas
Interventional Probing in High Dimensions: An NLI Case Study. CoRR (2023)
Mauricio Jacobo-Romero, Danilo S. Carvalho, André Freitas
Analysis of business process automation as linear time-invariant system network. CoRR (2023)
Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh
Discourse-Aware Text Simplification: From Complex Sentences to Linked Propositions. CoRR (2023)
Jordan Meadows, Marco Valentino, Damien Teney, André Freitas
A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers. CoRR (2023)
Julia Rozanova, Marco Valentino, André Freitas
Estimating the Causal Effects of Natural Logic Features in Neural NLI Models. CoRR (2023)
Marco Valentino, Jordan Meadows, Lan Zhang, André Freitas
Multi-Operational Mathematical Derivations in Latent Space. CoRR (2023)
Leonardo Ranaldi, Giulia Pucci, Elena Sofia Ruzzetti, Fabio Massimo Zanzotto, André Freitas
Teasing LLMs Adapted to Italian. CLiC-it (2023)
Edoardo Manino, Julia Rozanova, Danilo Carvalho, André Freitas, Lucas C. Cordeiro
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective. ACL (Findings) (2022)
Marco Valentino, André Freitas
Scientific Explanation and Natural Language: A Unified Epistemological-Linguistic Perspective for Explainable AI. CoRR (2022)
Giangiacomo Mercatali, André Freitas, Vikas Garg
Symmetry-induced Disentanglement on Graphs. NeurIPS (2022)
Mael Jullien, Marco Valentino, André Freitas
Do Transformers Encode a Foundational Ontology? Probing Abstract Classes in Natural Language. CoRR (2022)
Yingji Zhang, Danilo S. Carvalho, Ian Pratt-Hartmann, André Freitas
Quasi-symbolic explanatory NLI via disentanglement: A geometrical examination. CoRR (2022)
Mauricio Jacobo-Romero, Danilo S. Carvalho, André Freitas
Estimating productivity gains in digital automation. CoRR (2022)
Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas
Decomposing Natural Logic Inferences for Neural NLI. BlackboxNLP@EMNLP (2022)
Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Julia Rozanova, André Freitas
To be or not to be an Integer? Encoding Variables for Mathematical Text. ACL (Findings) (2022)
Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas
Hybrid Autoregressive Inference for Scalable Multi-Hop Explanation Regeneration. AAAI (2022)
Jordan Meadows, André Freitas
A Survey in Mathematical Language Processing. CoRR (2022)
Alex Bogatu, Norman W. Paton, Mark Douthwaite, André Freitas
Voyager: Data Discovery and Integration for Onboarding in Data Science. EDBT (2022)
Marco Valentino, Mokanarangan Thayaparan, André Freitas
Case-Based Abductive Natural Language Inference. COLING (2022)
Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Dónal Landers, André Freitas
Biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data. CoRR (2022)
Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Donal Landers, André Freitas
Transformers and the representation of biomedical background knowledge. CoRR (2022)
Guy Clarke Marshall, Caroline Jay, André Freitas
Why Scholars Are Diagramming Neural Network Models. Diagrams (2022)
Minh-Quoc Nghiem, Paul Baylis, André Freitas, Sophia Ananiadou
Text Classification and Prediction in the Legal Domain. LREC (2022)
Danilo S. Carvalho, Giangiacomo Mercatali, Yingji Zhang, André Freitas
Learning Disentangled Representations for Natural Language Definitions. CoRR (2022)
Danilo S. Carvalho, Edoardo Manino, Julia Rozanova, Lucas C. Cordeiro, André Freitas
Montague semantics and modifier consistency measurement in neural language models. CoRR (2022)
Edoardo Manino, Julia Rozanova, Danilo Carvalho, André Freitas, Lucas C. Cordeiro
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective. CoRR (2022)
Mauricio Jacobo-Romero, André Freitas
Microeconomic Foundations of Decentralised Organisations. CoRR (2022)
Edoardo Manino, Danilo Carvalho, Yi Dong, Julia Rozanova, Xidan Song, Mustafa A. Mustafa, André Freitas, Gavin Brown, Mikel Lujan, Xiaowei Huang, Lucas C. Cordeiro
EnnCore: End-to-End Conceptual Guarding of Neural Architectures. SafeAI@AAAI (2022)
Oskar Wysocki, Jessica Katharine Davies, Markel Vigo, Anne Caroline Armstrong, Dónal Landers, Rebecca Lee, André Freitas
Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making. CoRR (2022)
Jordan Meadows, Zili Zhou, André Freitas
PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics. CoRR (2022)
Alex Bogatu, Zili Zhou, Dónal Landers, André Freitas
Active entailment encoding for explanation tree construction using parsimonious generation of hard negatives. CoRR (2022)
Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas
Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference. Trans. Assoc. Comput. Linguistics 10 (2022)
Alex Bogatu, Magdalena Wysocka, Oskar Wysocki, Holly Butterworth, Donal Landers, Elaine Kilgour, André Freitas
Metareview-informed Explainable Cytokine Storm Detection during CAR-T cell Therapy. CoRR (2022)
Mokanarangan Thayaparan, Marco Valentino, André Freitas
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solvers. CoRR (2022)
Philip Osborne, Heido Nõmm, André Freitas
A Survey of Text Games for Reinforcement Learning Informed by Natural Language. Trans. Assoc. Comput. Linguistics 10 (2022)
Jordan Meadows, Zili Zhou, André Freitas
PhysNLU: A Language Resource for Evaluating Natural Language Understanding and Explanation Coherence in Physics. LREC (2022)
Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, André Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet
What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. CoRR (2021)
Julia Rozanova, Deborah Ferreira, Krishna Dubba, Weiwei Cheng, Dell Zhang, André Freitas
Grounding Natural Language Instructions: Can Large Language Models Capture Spatial Information? CoRR (2021)
Macedo Maia, Juliano Efson Sales, André Freitas, Siegfried Handschuh, Markus Endres
A Comparative Study of Deep Neural Network Models on Multi-Label Text Classification in Finance. ICSC (2021)
Giangiacomo Mercatali, André Freitas
Disentangling Generative Factors in Natural Language with Discrete Variational Autoencoders. CoRR (2021)
Guy Clarke Marshall, Caroline Jay, André Freitas
Structuralist analysis for neural network system diagrams. CoRR (2021)
Cristian Consonni, Silvia Basile, Matteo Manca, Ludovico Boratto, André Freitas, Tatiana Kovacikova, Ghadir Pourhashem, Yannick Cornet
What's Your Value of Travel Time? Collecting Traveler-Centered Mobility Data via Crowdsourcing. ICWSM (2021)
Guy Clarke Marshall, Caroline Jay, André Freitas
Number and Quality of Diagrams in Scholarly Publications is Associated with Number of Citations. Diagrams (2021)
Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas
Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference. CoRR (2021)
Guy Clarke Marshall, Caroline Jay, André Freitas
Scholarly AI system diagrams as an access point to mental models. CoRR (2021)
Mokanarangan Thayaparan, Marco Valentino, André Freitas
Explainable Inference Over Grounding-Abstract Chains for Science Questions. ACL/IJCNLP (Findings) (2021)
Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas
Does My Representation Capture X? Probe-Ably. CoRR (2021)
Mario Ramirez, Alex Bogatu, Norman W. Paton, André Freitas
Natural Language Inference over Tables: Enabling Explainable Data Exploration on Data Lakes. ESWC (2021)
Guy Marshall, Mokanarangan Thayaparan, Philip Osborne, André Freitas
Switching Contexts: Transportability Measures for NLP. CoRR (2021)
Julia Rozanova, Deborah Ferreira, Marco Valentino, Mokanarangan Thayaparan, André Freitas
Decomposing Natural Logic Inferences in Neural NLI. CoRR (2021)
Jordan Meadows, André Freitas
Similarity-Based Equational Inference in Physics. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

André Freitas