RLHF: A comprehensive Survey for Cultural, Multimodal and Low Latency Alignment Methods
This survey delves into the evolving landscape of Reinforcement Learning from Human Feedback (RLHF) for aligning Large Language Models. It examines multi-modal alignment, cultural fairness, and low-latency optimization, while reviewing foundational algorithms and highlighting current innovations and challenges within the field.