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
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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 |
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| 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 |
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| 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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| 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, 2024 |
| Reasoning with Natural Language Explanations, and , in: In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, 2024 |
| 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 |
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| 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 |
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| Consistent Autoformalization for Constructing Mathematical Libraries, , and , in: The 2024 Conference on Empirical Methods in Natural Language Processing, 2024 |
| Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks, , and , in: The 62nd Annual Meeting of the Association for Computational Linguistics, 2024 |
| Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders, , , , and , in: Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024), 2024 |
| Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders, , , , and , in: In Findings of the Association for Computational Linguistics: NAACL 2024, 2024 |
| Encoding Explanatory Knowledge for Zero-shot Science Question Answering, , , and , in: 14th International Conference on Computational Semantics, 2021 |
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