While these methods improve semantic representation
by incorporating domain knowledge and task-specific fine-
tuning, retrievers may not always exhibit optimal compatibil-
ity with certain LLMs. To address this, some researchers have
explored direct supervision of the fine-tuning process using
feedback from LLMs. This direct supervision seeks to align
the retriever more closely with the LLM, thereby improving
performance on downstream tasks. A more comprehensive
discussion on this topic is presented in Section 4.3.
RAG forLargeLanguageModels-ASurvey