9 citations · 11 across the 4 of their papers we have counts for
4 papers
Why AI-Generated Text Detection Fails: Evidence from Explainable AI Beyond Benchmark Accuracy
Shushanta Pudasaini, Luis Miralles-Pechuán, David Lillis +1
The widespread adoption of Large Language Models (LLMs) has made the detection of AI-Generated text a pressing and complex challenge. Although many detection systems report high be…
NepaliGPT: A Generative Language Model for the Nepali Language
Shushanta Pudasaini, Aman Shakya, Siddhartha Shrestha +3
After the release of ChatGPT, Large Language Models (LLMs) have gained huge popularity in recent days and thousands of variants of LLMs have been released. However, there is no gen…
Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integrity
Shushanta Pudasaini, Luis Miralles-Pechuán, David Lillis +1
The rise of Large Language Models (LLMs) such as ChatGPT and Gemini has posed new challenges for the academic community. With the help of these models, students can easily complete…
SilverSpeak: Evading AI-Generated Text Detectors using Homoglyphs
Aldan Creo, Shushanta Pudasaini
The advent of Large Language Models (LLMs) has enabled the generation of text that increasingly exhibits human-like characteristics. As the detection of such content is of signific…