2026
Mitigating Reward Hacking in LLM-based Recommendation: A Preference Optimization Approach
ICML 2026poster
Post-training adaptation has become the central paradigm for leveraging large language models (LLMs) in recommendation. While recent preference optimization methods, such as Direct Preference Optimization (DPO), enhance pairwise preference discrimination, they remain vulnerable to \emph{reward hacki…