2 papers
cs.LG2026
Next-token Preference: Scaling Unsupervised Reward Modeling
Jingxuan Fan, Yueying Li, Zhenting Qi +4
Learning from feedback advances the capabilities and safety of frontier models, but preference supervision remains costly and difficult to scale. We introduce next-token preference…
q-fin.TR2025
MountainLion: A Multi-Modal LLM-Based Agent System for Interpretable and Adaptive Financial Trading
Siyi Wu, Junqiao Wang, Zhaoyang Guan +11
Cryptocurrency trading is a challenging task requiring the integration of heterogeneous data from multiple modalities. Traditional deep learning and reinforcement learning approach…