Enhancing Ranking Capabilities of Large Language Models for Recommendation Systems

A novel framework that integrates soft lambda loss and permutation-sensitive learning to effectively align the objectives of language generation and ranking tasks, enabling Large Language Models to perform efficient and accurate list-wise recommendation.