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Neutralizing Popularity Bias in LLM-based Recommendation via Counterfactual Reasoning Guidelines
In the era of generative AI, recommender systems are moving from precise prediction to trustworthy generation. Large language models (LLMs) support this shift by inferring user interests and producing natural-language explanations. However, LLM-based recommendation suffers from a fundamental obstacl
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