Magdalena Wysocka
Orcid: 0000-0001-9859-7068
According to our database1,
Magdalena Wysocka
authored at least 17 papers
between 2022 and 2025.
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Bibliography
2025
Biomedical reasoning in action: Multi-agent System for Auditable Biomedical Evidence Synthesis.
CoRR, October, 2025
CoRR, March, 2025
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
2024
Synthetic dataset for end-to-end Relation Extraction of relationships between Organisms and Natural-Products with Mixtral-8x7B-Instruct-v0.1.
Dataset, March, 2024
Large Language Models, scientific knowledge and factuality: A framework to streamline human expert evaluation.
J. Biomed. Informatics, 2024
An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery.
CoRR, 2024
Relation Extraction in Underexplored Biomedical Domains: A Diversity-optimized Sampling and Synthetic Data Generation Approach.
Comput. Linguistics, 2024
2023
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data.
BMC Bioinform., December, 2023
Synthetic dataset for end-to-end Relation Extraction of relationships between Organisms and Natural-Products with Vicuna-13b-v1.5.
Dataset, November, 2023
Evaluation dataset for Relation Extraction of relationships between Organisms and Natural-Products.
Dataset, October, 2023
Synthetic datasets for end-to-end Relation Extraction of relationships between Organisms and Natural-Products.
Dataset, October, 2023
Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy.
J. Biomed. Informatics, June, 2023
Comput. Linguistics, March, 2023
Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approach.
CoRR, 2023
Large Language Models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery.
CoRR, 2023
2022
Biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data.
CoRR, 2022
CoRR, 2022