15 citations · 23 across the 8 of their papers we have counts for
6 papers · 1 filter
AI-generated Text Detection: A Multifaceted Approach to Binary and Multiclass Classification
Harika Abburi, Sanmitra Bhattacharya, Edward Bowen +1
Large Language Models (LLMs) have demonstrated remarkable capabilities in generating text that closely resembles human writing across a wide range of styles and genres. However, su…
Citations and Trust in LLM Generated Responses
Yifan Ding, Matthew Facciani, Amrit Poudel +5
Question answering systems are rapidly advancing, but their opaque nature may impact user trust. We explored trust through an anti-monitoring framework, where trust is predicted to…
MedCodER: A Generative AI Assistant for Medical Coding
Krishanu Das Baksi, Elijah Soba, John J. Higgins +8
Medical coding is essential for standardizing clinical data and communication but is often time-consuming and prone to errors. Traditional Natural Language Processing (NLP) methods…
EntGPT: Entity Linking with Generative Large Language Models
Yifan Ding, Amrit Poudel, Qingkai Zeng +3
Entity Linking in natural language processing seeks to match text entities to their corresponding entries in a dictionary or knowledge base. Traditional approaches rely on contextu…
A Simple yet Efficient Ensemble Approach for AI-generated Text Detection
Harika Abburi, Kalyani Roy, Michael Suesserman +4
Recent Large Language Models (LLMs) have demonstrated remarkable capabilities in generating text that closely resembles human writing across wide range of styles and genres. Howeve…
Generative AI Text Classification using Ensemble LLM Approaches
Harika Abburi, Michael Suesserman, Nirmala Pudota +3
Large Language Models (LLMs) have shown impressive performance across a variety of Artificial Intelligence (AI) and natural language processing tasks, such as content creation, rep…