Chen Huang

Flexible, Robust, Scalable Semi-supervised Learning via Reliability Propagation

2021

Semi-supervised learning aims to generate a model with a better performance using plenty of unlabeled data. However, most existing methods treat unlabeled data equally without considering whether it is safe or not, which may lead …

Pre-Training Representations of Binary Code Using Contrastive Learning

2023

<p>Binary code analysis and comprehension is critical to applications in reverse engineering and computer security tasks where source code is not available. Unfortunately, unlike source code, binary code lacks semantics and is more difficult for …

Towards Analyzing and Understanding the Limitations of DPO: A Theoretical Perspective

2024 · arXiv (Cornell University)

Direct Preference Optimization (DPO), which derives reward signals directly from pairwise preference data, has shown its effectiveness on aligning Large Language Models (LLMs) with human preferences. Despite its widespread use across various tasks, DPO has …

Text Clustering as Classification with LLMs

2024 · arXiv (Cornell University)

Text clustering serves as a fundamental technique for organizing and interpreting unstructured textual data, particularly in contexts where manual annotation is prohibitively costly. With the rapid advancement of Large Language Models (LLMs) and their demonstrated …

The practice and effect of multi-disciplinary cooperative mobile devices in improving the satisfaction of inpatients on drug education

2025 · African Health Sciences

Objective: To explore the effect of multi-disciplinary cooperative mobile device-assisted drug education on the satisfaction of inpatients drug education. Methods: Mobile nursing vehicle, IPAD, and mobile phone were used to scan QR code to play …