most citedGenerative AI Text Classification using Ensemble LLM Approaches

15 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

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…

cs.CR20248 cited

Discovering Command and Control Channels Using Reinforcement Learning

Cheng Wang, Akshay Kakkar, Christopher Redino +7

Command and control (C2) paths for issuing commands to malware are sometimes the only indicators of its existence within networks. Identifying potential C2 channels is often a manu…

cs.CL20233 cited

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…

cs.CL202315 cited

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…

cs.CR2023

Cross-temporal Detection of Novel Ransomware Campaigns: A Multi-Modal Alert Approach

Sathvik Murli, Dhruv Nandakumar, Prabhat Kumar Kushwaha +6

We present a novel approach to identify ransomware campaigns derived from attack timelines representations within victim networks. Malicious activity profiles developed from multip…