5 papers
sudoLLM: On Multi-role Alignment of Language Models
Soumadeep Saha, Akshay Chaturvedi, Joy Mahapatra +1
User authorization-based access privileges are a key feature in many safety-critical systems, but have not been extensively studied in the large language model (LLM) realm. In this…
Factual Inconsistency in Data-to-Text Generation Scales Exponentially with LLM Size: A Statistical Validation
Joy Mahapatra, Soumyajit Roy, Utpal Garain
Monitoring factual inconsistency is essential for ensuring trustworthiness in data-to-text generation (D2T). While large language models (LLMs) have demonstrated exceptional perfor…
An Extensive Evaluation of Factual Consistency in Large Language Models for Data-to-Text Generation
Joy Mahapatra, Utpal Garain
Large Language Models (LLMs) have shown exceptional performance across various Data-to-Text Generation (DTG) tasks. However, generating factually consistent text in DTG remains cha…
HCDIR: End-to-end Hate Context Detection, and Intensity Reduction model for online comments
Neeraj Kumar Singh, Koyel Ghosh, Joy Mahapatra +2
Warning: This paper contains examples of the language that some people may find offensive. Detecting and reducing hateful, abusive, offensive comments is a critical and challenging…
Pathologist-Like Explanations Unveiled: an Explainable Deep Learning System for White Blood Cell Classification
Aditya Shankar Pal, Debojyoti Biswas, Joy Mahapatra +3
White blood cells (WBCs) play a crucial role in safeguarding the human body against pathogens and foreign substances. Leveraging the abundance of WBC imaging data and the power of…