7 papers
Agentic AI in Healthcare & Medicine: A Seven-Dimensional Taxonomy for Empirical Evaluation of LLM-based Agents
Shubham Vatsal, Harsh Dubey, Aditi Singh
Large Language Model (LLM)-based agents that plan, use tools and act has begun to shape healthcare and medicine. Reported studies demonstrate competence on various tasks ranging fr…
Robustness of Large Language Models to Perturbations in Text
Ayush Singh, Navpreet Singh, Shubham Vatsal
Having a clean dataset has been the foundational assumption of most natural language processing (NLP) systems. However, properly written text is rarely found in real-world scenario…
Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks
Shubham Vatsal, Harsh Dubey, Aditi Singh
Large language models (LLMs) have demonstrated impressive performance across a wide range of Natural Language Processing (NLP) tasks. However, ensuring their effectiveness across m…
Emotion Classification in Low and Moderate Resource Languages
Shabnam Tafreshi, Shubham Vatsal, Mona Diab
It is important to be able to analyze the emotional state of people around the globe. There are 7100+ active languages spoken around the world and building emotion classification f…
Can GPT Redefine Medical Understanding? Evaluating GPT on Biomedical Machine Reading Comprehension
Shubham Vatsal, Ayush Singh
Large language models (LLMs) have shown remarkable performance on many tasks in different domains. However, their performance in closed-book biomedical machine reading comprehensio…
Can GPT Improve the State of Prior Authorization via Guideline Based Automated Question Answering?
Shubham Vatsal, Ayush Singh, Shabnam Tafreshi
Health insurance companies have a defined process called prior authorization (PA) which is a health plan cost-control process that requires doctors and other healthcare professiona…