6 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…
InFusionLayer: a CFA-based ensemble tool to generate new classifiers for learning and modeling
Eric Roginek, Jingyan Xu, D. Frank. Hsu
Ensemble learning is a well established body of methods for machine learning to enhance predictive performance by combining multiple algorithms/models. Combinatorial Fusion Analysi…
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…
AI-Assisted SQL Authoring at Industry Scale
Chandra Maddila, Negar Ghorbani, Kosay Jabre +8
SqlCompose brings generative AI into the data analytics domain. SQL is declarative, has formal table schemas, and is often written in a non-linear manner. We address each of these…