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cs.CL2026
NeSy-RAG: Neuro-Symbolic RAG for Explainable Question Answering
Jonas Gann, Michael Gertz
Retrieval-augmented generation (RAG) improves question answering by grounding large language models (LLMs) in external knowledge such as text corpora. However, its reasoning proces…
q-bio.BM2026
Exploring Drug Safety Through Knowledge Graphs: Protein Kinase Inhibitors as a Case Study
David Jackson, Michael Gertz, Jürgen Hesser
Adverse Drug Reactions (ADRs) are a leading cause of morbidity and mortality. Existing prediction methods rely mainly on chemical similarity, machine learning on structured databas…