PhD Research Scholar, Centre for Computational and Data Sciences, IIT Kharagpur
Advancing Information Retrieval and Large Language Models through In-Context Learning and Generative AI
I am a PhD Research Scholar at the Centre for Computational and Data Sciences, IIT Kharagpur, specializing in Information Retrieval, Large Language Models, and In-Context Learning. My research focuses on advancing AI and ML methodologies, particularly in the domains of few-shot learning for retrieval systems and generative AI applications.
Currently working with the AI4ICPS Technology Innovation Hub, I have gained recognition for developing innovative AI-based evaluation frameworks and contributing to the advancement of information retrieval systems. My work spans across medical information systems, educational evaluation, and crowd computing applications.
With a strong foundation in both theoretical research and practical applications, I have published in top-tier conferences including EMNLP 2024 and have accumulated over 331 citations for my research contributions. My academic journey is driven by the goal of making AI systems more efficient, interpretable, and accessible across various domains.
Citations
Publications
Research Areas
Developing advanced ranking models and retrieval systems using machine learning and deep learning approaches
Exploring few-shot learning techniques and prompt engineering for improving LLM performance in various tasks
Advancing non-parametric retrieval models through pairwise ranking prompting and few-shot techniques
Developing AI-driven systems for medical information retrieval and question-answering interactions
Creating automated evaluation frameworks for educational assessment and feedback systems
EMNLP 2024 Findings
2024 15th International Conference on Computing Communication and Networking
arXiv preprint arXiv:2101.09662
International Journal on Digital Libraries 22(2), 233-249
IEEE Access 7, 182113-182172
A few-shot implementation of Pairwise Ranking Prompting (PRP) method with a All-Pair re-ranking mechanism. EMNLP 2024 accepted paper implementation.
Research projects focused on prompt engineering and fine-tuning techniques for large language models.
Deep learning applications in computer vision with hands-on implementations and image processing techniques.
Recognition for research and development of an AI-based Evaluation Framework under the AI4ICPS Hub at IIT Kharagpur
Applied for recognition in applied innovation in computing research
Kharagpur, West Bengal, India
Centre for Computational and Data Sciences
IIT Kharagpur