6 citations · 7 across the 5 of their papers we have counts for
5 papers
NVAITC AI Scientist: A Governed End-to-End Research System -- A Hypertension GWAS Case Study
Eddie Huang, Ken Liao, Iven Fu +14
Agentic research systems are emerging as a new paradigm for coordinating scientific workflows beyond isolated model inference, code generation, or statistical analysis. However, de…
Agent Skills: A Data-Driven Analysis of Claude Skills for Extending Large Language Model Functionality
George Ling, Shanshan Zhong, Richard Huang
Agent skills extend large language model (LLM) agents with reusable, program-like modules that define triggering conditions, procedural logic, and tool interactions. As these skill…
Large Language Models for Social Networks: Applications, Challenges, and Solutions
Jingying Zeng, Richard Huang, Waleed Malik +6
Large Language Models (LLMs) are transforming the way people generate, explore, and engage with content. We study how we can develop LLM applications for online social networks. De…
Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling
Jingying Zeng, Jaewon Yang, Waleed Malik +3
While generative AI excels in content generation, it does not always increase user engagement. This can be attributed to two main factors. First, generative AI generates content wi…
Soft-Search: Two Datasets to Study the Identification and Production of Research Software
Eva Maxfield Brown, Lindsey Schwartz, Richard Lewei Huang +1
Software is an important tool for scholarly work, but software produced for research is in many cases not easily identifiable or discoverable. A potential first step in linking res…