25 citations · 25 across the 2 of their papers we have counts for
2 papers
cs.CL2025
Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models
Chengao Li, Hanyu Zhang, Yunkun Xu +3
Reinforcement Learning from Human Feedback (RLHF) has emerged as a powerful technique for aligning large language models (LLMs) with human preferences. However, effectively alignin…
q-fin.ST2023★ 25 cited
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning
Shuo Yu, Hongyan Xue, Xiang Ao +4
In the field of quantitative trading, it is common practice to transform raw historical stock data into indicative signals for the market trend. Such signals are called alpha facto…