Papers by Magdalena Wysocka

2 papers
SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning (2025.naacl-long)

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Challenge: Existing models are far from achieving the robustness and consistency required for safe biomedical NLI applications.
Approach: They propose a framework that leverages external ontologies to instantiate diverse syllogistic arguments for biomedical NLI by identifying valid conclusions and extracting supporting evidence.
Outcome: The proposed framework evaluates large language models on identifying valid conclusions and extracting supporting evidence across 28 syllogistic schemes instantiated with human genome pathways.
Accelerating Antibiotic Discovery with Large Language Models and Knowledge Graphs (2025.acl-industry)

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Challenge: Antimicrobial resistance (AMR) is one of the top ten global public health threats . pharmaceutical industries face high costs (over $1 billion), long timelines, and a high failure rate .
Approach: They propose an LLM-based pipeline that acts as an alert system, detecting prior evidence of antibiotic activity to prevent costly rediscoveries.
Outcome: The proposed system integrates literature on organisms and chemicals into a Knowledge Graph (KG), ensuring taxonomic resolution, synonym handling, and multi-level evidence classification.

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