Drug-drug interaction identification using large language models

Current LLMs show promising but uneven capabilities in identifying DDIs across clinically relevant task structures. Performance degrades as the reasoning space expands, and stability across repeated queries remains limited. These findings emphasize the need for multi-format evaluation frameworks and reliability-aware assessment when considering LLMs for medication-safety applications.