From the 1 of 5 linked papers with an AI index.
5 papers
Diagnosing Fine-Grained Inconsistency Classification in Financial Disclosure Text
Aman Kumar, Lasitha Vidyaratne, Dipanjan D Ghosh +2
The paper investigates fine-grained classification of different inconsistency types in financial disclosure texts, evaluating various supervised and large language models on a synt…
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…
A Hierarchical Agentic Framework for Autonomous Drone-Based Visual Inspection
Ethan Herron, Xian Yeow Lee, Gregory Sin +3
Autonomous inspection systems are essential for ensuring the performance and longevity of industrial assets. Recently, agentic frameworks have demonstrated significant potential fo…
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…