23 citations · 23 across the 6 of their papers we have counts for
6 papers
Diagnosing Fine-Grained Inconsistency Classification in Financial Disclosure Text
Aman Kumar, Lasitha Vidyaratne, Dipanjan D Ghosh +2
Financial disclosures may contain numerical, temporal, referential, factual, and policy inconsistencies that require different evidence and reasoning to diagnose. We study fine-gra…
Building Domain-Specific Small Language Models via Guided Data Generation
Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee +5
Large Language Models (LLMs) have shown remarkable success in supporting a wide range of knowledge-intensive tasks. In specialized domains, there is growing interest in leveraging…
Weakly-supervised Latent Models for Task-specific Visual-Language Control
Xian Yeow Lee, Lasitha Vidyaratne, Gregory Sin +2
Autonomous inspection in hazardous environments requires AI agents that can interpret high-level goals and execute precise control. A key capability for such agents is spatial grou…
Exploring LLM-based Frameworks for Fault Diagnosis
Xian Yeow Lee, Lasitha Vidyaratne, Ahmed Farahat +1
Large Language Model (LLM)-based systems present new opportunities for autonomous health monitoring in sensor-rich industrial environments. This study explores the potential of LLM…
An ensemble of convolution-based methods for fault detection using vibration signals
Xian Yeow Lee, Aman Kumar, Lasitha Vidyaratne +3
This paper focuses on solving a fault detection problem using multivariate time series of vibration signals collected from planetary gearboxes in a test rig. Various traditional ma…
Multi-module based CVAE to predict HVCM faults in the SNS accelerator
Yasir Alanazi, Malachi Schram, Kishansingh Rajput +7
We present a multi-module framework based on Conditional Variational Autoencoder (CVAE) to detect anomalies in the power signals coming from multiple High Voltage Converter Modulat…