Rabbits: A Specialized Dataset And Leaderboard To Aid In Evaluating Llm Performance In Healthcare

Biomedical natural language processing (NLP) is a rapidly growing field that focuses on developing machine learning models to interpret and analyze medical texts. These models assist with diagnostics, treatment recommendations, and extracting medical information, significantly improving healthcare delivery and clinical decision-making. However, a significant challenge in this field is ensuring that language models are robust and accurate when dealing with diverse and context-specific medical terminologies. To address this issue, researchers have introduced a novel robustness evaluation method that aims to improve the performance of language models in the medical field.