Zhengyi Yang

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning

2025 · arXiv (Cornell University)

Recent advances have applied large language models (LLMs) to sequential recommendation, leveraging their pre-training knowledge and reasoning capabilities to provide more personalized user experiences. However, existing LLM-based methods fail to sufficiently leverage the rich temporal …