4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.AI2025★ 1 cited
Preference Optimization via Contrastive Divergence: Your Reward Model is Secretly an NLL Estimator
Zhuotong Chen, Fang Liu, Xuan Zhu +2
Existing studies on preference optimization (PO) have centered on constructing pairwise preference data following simple heuristics, such as maximizing the margin between preferred…
cs.LG2024
Towards Improved Preference Optimization Pipeline: from Data Generation to Budget-Controlled Regularization
Zhuotong Chen, Fang Liu, Jennifer Zhu +2
Direct Preference Optimization (DPO) and its variants have become the de facto standards for aligning large language models (LLMs) with human preferences or specific goals. However…
cs.AI2024★ 4 cited
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs
Behnam Rahdari, Hao Ding, Ziwei Fan +4
The unique capabilities of Large Language Models (LLMs), such as the natural language text generation ability, position them as strong candidates for providing explanation for reco…