Enhancing Multi-Conditional Ranking with Large Language Models through Decomposed Reasoning

Large language models struggle to effectively rank a small set of items based on multiple, potentially conflicting conditions. A novel decomposed reasoning approach, EXSIR, significantly improves LLM performance on this task.