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
2026
| Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study, , , and , in: The 40th Annual AAAI Conference on Artificial Intelligence, 2026 |
| Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering, , , , and , in: The 40th Annual AAAI Conference on Artificial Intelligence, 2026 |
2025
| A Mechanistic Interpretation of Syllogistic Reasoning in Auto-Regressive Language Models, , and , in: Findings of the ACL, 2025 |
| Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs, , , and , in: 63rd Annual Meeting of the Association for Computational Linguistics, Vienna, pages 693–705, Association for Computational Linguistics, 2025 |
[DOI] [URL] |
| An evidence-based guidance framework for neural network system diagrams, , and , in: PLOS One, 2025 |
| CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment, , and , in: The 2025 Conference on Empirical Methods in Natural Language Processing, 2025 |
| Controlling Equational Reasoning in Large Language Models with Prompt Interventions, , and , in: The 39th Annual AAAI Conference on Artificial Intelligence, 2025 |
| Effective Graph and Rank-based Contextual Embeddings for Textual and Multimedia Data, , , , and , in: International Joint Conference on Neural Networks, 2025 |
| 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 |
| Faithful and Robust LLM-Driven Theorem Proving for NLI Explanations, , , and , in: 63rd Annual Meeting of the Association for Computational Linguistics, 2025 |
| 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 |
| Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions, , , and , in: 8th International Conference on Extending Database Technology, 2025 |
| Improving chain-of-thought reasoning via quasi-symbolic abstractions, , , and , in: 63rd Annual Meeting of the Association for Computational Linguistics, 2025 |
| Inductive Learning of Logical Theories with LLMs: A Complexity-graded Analysis, , and , in: The 39th Annual AAAI Conference on Artificial Intelligence, 2025 |
| LangVAE and LangSpace: Building and Probing for Language Model VAEs, , , and , in: Demonstration at the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP), 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 |
| 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 |
| Nexus: An Omni-Perceptive And-Interactive Model for Language, Audio, And Vision, , , , , , , , , , , , , , , , , , and , in: ACM Multimedia, 2025 |
| On the Nature of Explanation: An Epistemological-Linguistic Perspective for Explanation-Based Natural Language Inference, and , in: Philosophy & Technology, 2025 |
| 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 |
| 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 |
| 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 |
| TableDC: Deep Clustering for Tabular Data, , and , in: ACM SIGMOD International Conference on Management of Data, 2025 |
| 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 |
| UpSMART: five years of digital innovation in cancer clinical research---achievements, challenges, and recommendations, , , , , , , , , , , , , , , , , , , , , and , in: Frontiers in Digital Health, 7, 2025 |
[DOI] |
2024
| 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 |
| A Symbolic Framework for Systematic Evaluation of Mathematical Reasoning with Transformers, , , and , in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024 |
[URL] |
| 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 |
| 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 |
[DOI] [URL] |
| Consistent Autoformalization for Constructing Mathematical Libraries, , and , in: The 2024 Conference on Empirical Methods in Natural Language Processing, 2024 |
| Deep Clustering for Data Cleaning and Integration, , and , in: 27th International Conference on Extending Database Technology, 2024 |
| Diffusion Twigs with Loop Guidance for Conditional Graph Generation, , , and , in: Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024 |
| Empowering Cross-lingual Abilities of Instruction-tuned Large Language Models by Translation-following demonstrations, , and , in: Findings of the ACL, 2024 |
| 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 |
| 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 |
| Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions, , and , in: Findings of EMNLP, 2024 |
| Formal Semantic Controls over Language Models, , and , in: LREC-COLING, 2024 |
| Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series, , and , in: Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024 |
| Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders, , , , and , in: In Findings of the Association for Computational Linguistics: NAACL 2024, 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 |
| Inference to the Best Explanation in Large Language Models, , , and , in: In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024 |
| Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation, , , , and , in: Journal of Biomedical Informatics(158), 2024 |
[DOI] [URL] |
| Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks, , and , in: The 62nd Annual Meeting of the Association for Computational Linguistics, 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 |
| 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 |
| 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 |
[DOI] [URL] |