The high-skewed language distribution of documents and queries leads to significant language bias in data and models, impacting the performance of information retrieval systems.
Traditional keyword matching in information retrieval fails to understand user intent, which leads to irrelevant results and limits the diversity of responses, requiring query alterations to be effective.