Shuai Mu

Token-Efficient Long-Term Interest Sketching and Internalized Reasoning for LLM-based Recommendation

Large language models (LLMs) can solve complex real-world tasks when prompted to generate chain-of-thought (CoT) reasoning, motivating their use for preference reasoning in recommender systems. However, applying LLM reasoning on recommendation faces two practical challenges. First, LLMs struggle to…