Showing cs.LGShow all
2 papers · 1 filter
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.LG2025
ALARM: Automated MLLM-Based Anomaly Detection in Complex-EnviRonment Monitoring with Uncertainty Quantification
Congjing Zhang, Feng Lin, Xinyi Zhao +5
The advance of Large Language Models (LLMs) has greatly stimulated research interest in developing multi-modal LLM (MLLM)-based visual anomaly detection (VAD) algorithms that can b…