4 papers
Contextual Value Alignment via Multilayer Combinatorial Fusion
Yuanhong Wu, Djallel Bouneffouf, D. Frank Hsu
Aligning large language models (LLMs) with human values remains a major challenge, especially for trustworthy AI. While existing approaches such as RLHF, CAI, and their variants ha…
Enhancing Value Alignment of LLMs with Multi-agent system and Combinatorial Fusion
Yuanhong Wu, Djallel Bouneffouf, D. Frank Hsu
Aligning large language models (LLMs) with human values is a central challenge for ensuring trustworthy and safe deployment. While existing methods such as Reinforcement Learning f…
Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
Yuanhong Wu, Wei Ye, Jingyan Xu +1
In this work, we propose to apply a new model fusion and learning paradigm, known as Combinatorial Fusion Analysis (CFA), to the field of Bitcoin price prediction. Price prediction…
A Model Fusion Approach for Enhancing Credit Approval Decision Making
Yuanhong Wu, Jingyan Xu, Wei Ye +2
Credit default poses significant challenges to financial institutions and consumers, resulting in substantial financial losses and diminished trust. As such, credit default risk ma…