Keywords:
- Antibiotic discovery
- Cancer Genomics
- Cytokine stormExplainable AIHealthcare predictive analysisMachine learning for diagnosis
- deep learning
- Domain Knowledge Integration
- evaluation
- Explainable AI
- Factual knowledge
- Graph Neural Networks
- Large Language Models
- Multi-omics Data
- Prompting
- Relation Extraction
- Retrieval-augmented generation
- Sparse Neural Networks
- Synthetic Dataset
Publications of Andre Freitas sorted by title
L
| Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation, , , , and , in: Journal of Biomedical Informatics(158), 2024 |
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| Learning Disentangled Representations for Natural Language Definitions, , , and , in: In Findings of the European chapter of Association for Computational Linguistics, 2023 |
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| Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks, , and , in: The 62nd Annual Meeting of the Association for Computational Linguistics, 2024 |
| Learning Lessons from the COVID-19 pandemic for Real World Evidence research in Oncology–shared perspectives from an international consortia, , and , in: ESMO Open, 2023 |
| Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study, , , and , in: The 40th Annual AAAI Conference on Artificial Intelligence, 2026 |
| Longitudinal characterisation of haematological and biochemical parameters in cancer patients prior to and during COVID-19 reveals features associated with outcome, , , and , in: ESMO Open, 2021 |
M
| MASA: A Modular Framework for LLM-Driven Multi-Agent Systems for Autoformalization, , and , in: Demonstration at the 2025 Conference on Empirical Methods in Natural Language Processing, 2025 |
| Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy, , , , , , , , , and , in: Journal of Biomedical Informatics, 142, 2023 |
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| Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering, , , , and , in: The 40th Annual AAAI Conference on Artificial Intelligence, 2026 |
| Montague semantics and modifier consistency measurement in neural language models, , , , and , in: 31st International Conference on Computational Linguistics, 2025 |
| Montague semantics and modifier consistency measurement in neural language models, , , , and , in: 31st International Conference on Computational Linguistics, 2025 |
| Multi-Operational Mathematical Derivations in Latent Space, , , and , in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024 |
| Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions, , and , in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024 |
N
| Natural Language Inference over Tables: Enabling Explainable Data Exploration on Data Lakes, , , and , in: 18th Extended Semantic Web Conference (ESWC), 2021 |
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| Nexus: An Omni-Perceptive And-Interactive Model for Language, Audio, And Vision, , , , , , , , , , , , , , , , , , and , in: ACM Multimedia, 2025 |
| NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports, , , , , and , in: Proceedings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), 2023 |
| Number and quality of diagrams in scholarly publications is associated with number of citations, , and , in: Diagrams, 2021 |
O
| On Interventional Probing in High Dimensions: An NLI Case Study, , , and , in: Findings of the 17th European Chapter of the Association for Computational Linguistics, 2023 |
| On the Nature of Explanation: An Epistemological-Linguistic Perspective for Explanation-Based Natural Language Inference, and , in: Philosophy & Technology, 2024 |
| On the Nature of Explanation: An Epistemological-Linguistic Perspective for Explanation-Based Natural Language Inference, and , in: Philosophy & Technology, 2025 |
P
| Patient Attrition in Molecular Tumour Boards: A Systematic Review, , , , , and , in: British Journal of Cancer, 2022 |
| PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement, , , , and , in: Demonstration at 63rd Annual Meeting of the Association for Computational Linguistics, 2025 |
Q
| Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoders, , and , in: 29th Conference on Computational Natural Language Learning (nominated for a best paper award), 2025 |
R
| Reasoning with Natural Language Explanations, and , in: In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, 2024 |
| Relation Extraction in Underexplored Biomedical Domains: A Diversity-optimized Sampling and Synthetic Data Generation Approach, , and , in: Computational Linguistics, Volume 50(Issue 3):953–1000, 2024 |
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S
| Scholarly AI system diagrams as an access point to mental models, , and , in: Diagrams, 2021 |
| Self-Refine Instruction-Tuning for Aligning Reasoning in Language Models, and , in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024 |
| SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data, , , , , and , in: Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), Association for Computational Linguistics, 2023 |
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| SemEval-2024 Task 2: Safe Biomedical Natural Language Inference for Clinical Trials, , and , in: In Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024), 2024 |
| Shallow Discourse Parsing for Open Information Extraction and Text Simplification, , and , in: 3rd Workshop on Computational Approaches to Discourse (CODI) @ COLING, 2022 |
| Similarity-Based Equational Inference in Physics, and , in: Physics Review Research, 2021 |
| STAR: Cross-modal Statement Representation for Selecting Relevant Mathematical Premises, and , in: 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 |
| Structuralist analysis for neural network system diagrams, , and , in: Diagrams, 2021 |
| Supporting Context Monotonicity Abstractions in Neural NLI Models, , , , and , in: Natural Logic Meets Machine Learning Workshop, 2021 |
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| Switching Contexts: Transportability Measures for NLP, , , and , in: 14th International Conference on Computational Semantics, 2021 |
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| SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning, , , , and , in: Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, 2025 |
| Symmetry-induced Disentanglement on Graphs, , and , in: Advances in Neural Information Processing Systems 35, 2022 |
| Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective, , , , and , in: Findings of the ACL, 2022 |
T
| TableDC: Deep Clustering for Tabular Data, , and , in: ACM SIGMOD International Conference on Management of Data, 2025 |
| TextGraphs 2022 Shared Task on Natural Language Premise Selection, , , , and , in: Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing, 2022 |
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| To be or not to be an Integer? Encoding Variables for Mathematical Text, , , , and , in: Findings of the ACL, 2022 |
| TRACE: Training and Inference-Time Interpretability Analysis for Language Models, , and , in: Demonstration at the 2025 Conference on Empirical Methods in Natural Language Processing, 2025 |
| Transformers and the representation of biomedical background knowledge, , , , , and , in: Computational Linguistics, 2022 |
| Transformers, Tables and Frame Semantics, , , and , in: International Conference on Semantic Computing, 2023 |
U
| Unification-based Reconstruction of Multi-hop Explanations for Science Questions, , and , in: 16th conference of the European Chapter of the Association for Computational Linguistics, 2021 |
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| UpSMART: five years of digital innovation in cancer clinical research---achievements, challenges, and recommendations, , , , , , , , , , , , , , , , , , , , , and , in: Frontiers in Digital Health, 7, 2025 |
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