1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Policy Gradient Primal-Dual Method for Safe Reinforcement Learning from Human Feedback
Qiang Liu, Adrienne Kline, Ermin Wei
Safe Reinforcement Learning from Human Feedback (Safe RLHF) has recently achieved empirical success in developing helpful and harmless large language models by decoupling human pre…
cs.IR2023★ 1 cited
ControlRec: Bridging the Semantic Gap between Language Model and Personalized Recommendation
Junyan Qiu, Haitao Wang, Zhaolin Hong +3
The successful integration of large language models (LLMs) into recommendation systems has proven to be a major breakthrough in recent studies, paving the way for more generic and…