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 first author
N
| A Canonical Context-preserving Representation for Open IE: Extracting Semantically Typed Relational Tuples from Complex Sentences, , , and , in: Knowledge-based Systems, 2023 |
| Shallow Discourse Parsing for Open Information Extraction and Text Simplification, , and , in: 3rd Workshop on Computational Approaches to Discourse (CODI) @ COLING, 2022 |
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| digital ECMT cancer trial matching tool, an open source research application to support oncologists in the identification of precision medicine clinical trials,, , and , in: JCO Clinical Cancer Informatics, 2022 |
| 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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| 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 |
| Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement, , , and , in: The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024 |
| Verification and Refinement of Natural Language Explanations through LLM-Symbolic Theorem Proving, , , and , in: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024 |
| Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations, , , and , in: 63rd Annual Meeting of the Association for Computational Linguistics, 2025 |
R
| Transformers, Tables and Frame Semantics, , , and , in: International Conference on Semantic Computing, 2023 |
| 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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| Aligning Large and Small Language Models via Chain-of-Thought Reasoning, and , in: Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024 |
| Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrations, , and , in: Findings of the ACL, 2024 |
| Eliciting Critical Reasoning in Retrieval-Augmented Language Models via Contrastive Explanations, , and , in: Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics, 2025 |
| Improving chain-of-thought reasoning via quasi-symbolic abstractions, , , and , in: 63rd Annual Meeting of the Association for Computational Linguistics, 2025 |
| Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions, , , and , in: 8th International Conference on Extending Database Technology, 2025 |
| TableDC: Deep Clustering for Tabular Data, , and , in: ACM SIGMOD International Conference on Management of Data, 2025 |
| Deep Clustering for Data Cleaning and Integration, , and , in: 27th International Conference on Extending Database Technology, 2024 |
| Decomposing Natural Logic Inferences for Neural NLI, , , , and , in: BlackBoxNLP: Workshop on analyzing and interpreting neural networks for NLP, 2022 |
| Supporting Context Monotonicity Abstractions in Neural NLI Models, , , , and , in: Natural Logic Meets Machine Learning Workshop, 2021 |
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| 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 |
| Estimating the Causal Effects of Natural Logic Features in Transformer-Based NLI Models, , and , in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024 |
S
| Defining the role of real-world data in cancer clinical research: the position of the European Organisation for Research and Treatment of Cancer, , and , in: European Journal of Cancer, 2023 |
T
| What do individuals with visual impairment need and want from a dialogue-based digital assistant?, , , , and , in: Clinical and Experimental Optometry, 2023 |
| A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference, , and , in: The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, 2024 |
| Explainable Inference Over Grounding-Abstract Chains for Science Questions, , and , in: 59th Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2021 |
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| Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-Hop Inference, , , , and , in: Transactions of the Association for Computational Linguistics, 2022 |
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V
| 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 |
| On the Nature of Explanation: An Epistemological-Linguistic Perspective for Explanation-Based Natural Language Inference, and , in: Philosophy & Technology, 2025 |
| On the Nature of Explanation: An Epistemological-Linguistic Perspective for Explanation-Based Natural Language Inference, and , in: Philosophy & Technology, 2024 |
| Reasoning with Natural Language Explanations, and , in: In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, 2024 |
| Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering, , , , and , in: The 40th Annual AAAI Conference on Artificial Intelligence, 2026 |
| 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 |
| 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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| Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards, , and , in: 14th International Conference on Computational Semantics, 2021 |
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| Case-Based Abductive Natural Language Inference, , and , in: Proceedings of the 29th International Conference on Computational Linguistics, 2022 |
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| Explainable Natural Language Reasoning via Conceptual Unification, , and , in: 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 |
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| 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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| Hybrid Autoregressive Inference for Scalable Multi-hop Explanation Regeneration, , , and , in: Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022 |
W
| 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 |
| 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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| A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data, , , , and , in: BMC Bioinformatics, 24(198), 2023 |
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| Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making, , , , , , and , in: Artificial Intelligence, 2022 |
| What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP, , , and , in: EMNLP, 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021 |
| An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery, , , , , , , and , in: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL, Bangkok, Thailand, pages 355-364, 2024 |
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| Transformers and the representation of biomedical background knowledge, , , , , and , in: Computational Linguistics, 2022 |
Z
| Consistent Autoformalization for Constructing Mathematical Libraries, , and , in: The 2024 Conference on Empirical Methods in Natural Language Processing, 2024 |
| Formalizing Complex Mathematical Statements with LLMs: A Study on Mathematical Definitions, , and , in: The 2025 Conference on Empirical Methods in Natural Language Processing (best resource paper award), 2025 |
| 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 |