7 papers
Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures
Arkaprabha Basu, Kushal Bose, Sankha Subhra Mullick +2
Super-Resolution (SR) is a time-hallowed image processing problem that aims to improve the quality of a Low-Resolution (LR) sample up to the standard of its High-Resolution (HR) co…
ARREST: Adversarial Resilient Regulation Enhancing Safety and Truth in Large Language Models
Sharanya Dasgupta, Arkaprabha Basu, Sujoy Nath +1
Human cognition, driven by complex neurochemical processes, oscillates between imagination and reality and learns to self-correct whenever such subtle drifts lead to hallucinations…
HalluShift++: Bridging Language and Vision through Internal Representation Shifts for Hierarchical Hallucinations in MLLMs
Sujoy Nath, Arkaprabha Basu, Sharanya Dasgupta +1
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in vision-language understanding tasks. While these models often produce linguistically coherent…
A Systematic Review of Digital Twin-Driven Predictive Maintenance in Industrial Engineering: Taxonomy, Architectural Elements, and Future Research Directions
Leila Ismail, Abdelmoneim Abdelmoti, Arkaprabha Basu +2
With the increasing complexity of industrial systems, there is a pressing need for predictive maintenance to avoid costly downtime and disastrous outcomes that could be life-threat…
Revealing the Ancient Beauty: Digital Reconstruction of Temple Tiles using Computer Vision
Arkaprabha Basu
Modern digitised approaches have dramatically changed the preservation and restoration of cultural treasures, integrating computer scientists into multidisciplinary projects with e…
HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs
Sharanya Dasgupta, Sujoy Nath, Arkaprabha Basu +2
Large Language Models (LLMs) have recently garnered widespread attention due to their adeptness at generating innovative responses to the given prompts across a multitude of domain…