3 papers
cs.LG2026
Causal Discovery Should Embrace the Wisdom of the Crowd
Ryan Feng Lin, Yuantao Wei, Huiling Liao +2
This paper argues for recognizing an emerging paradigm of causal learning by wisdom of the crowd. Recent developments in government, industry, and research point to the rise of dec…
cs.LG2026
Team, Then Trim: An Assembly-Line LLM Framework for High-Quality Tabular Data Generation
Congjing Zhang, Ryan Feng Lin, Ruoxuan Bao +1
While tabular data is fundamental to many real-world machine learning (ML) applications, acquiring high-quality tabular data is usually labor-intensive and expensive. Limited by th…
cs.MA2025
CrowdLLM: Building LLM-Based Digital Populations Augmented with Generative Models
Ryan Feng Lin, Keyu Tian, Hanming Zheng +3
The emergence of large language models (LLMs) has sparked much interest in creating LLM-based digital populations that can be applied to many applications such as social simulation…