LLMs factor in unrelated information when recommending medical treatments
LLMs factor in unrelated information when recommending medical treatments
news.mit.edu LLMs factor in unrelated information when recommending medical treatments
An MIT study finds non-clinical information in patient messages, like typos, extra whitespace, or colorful language, can reduce the accuracy of a large language model deployed to make treatment recommendations. The LLMs were consistently less accurate for female patients, even when all gender marker...
