48 citations · 58 across the 16 of their papers we have counts for
4 papers · 1 filter
Exposing Pink Slime Journalism: Linguistic Signatures and Robust Detection Against LLM-Generated Threats
Sadat Shahriar, Navid Ayoobi, Arjun Mukherjee +2
The local news landscape, a vital source of reliable information for 28 million Americans, faces a growing threat from Pink Slime Journalism, a low-quality, auto-generated articles…
The Erosion of LLM Signatures: Can We Still Distinguish Human and LLM-Generated Scientific Ideas After Iterative Paraphrasing?
Sadat Shahriar, Navid Ayoobi, Arjun Mukherjee
With the increasing reliance on LLMs as research agents, distinguishing between LLM and human-generated ideas has become crucial for understanding the cognitive nuances of LLMs' re…
Beyond Easy Wins: A Text Hardness-Aware Benchmark for LLM-generated Text Detection
Navid Ayoobi, Sadat Shahriar, Arjun Mukherjee
We present a novel evaluation paradigm for AI text detectors that prioritizes real-world and equitable assessment. Current approaches predominantly report conventional metrics like…
ChatGPT or A Silent Everywhere Helper: A Survey of Large Language Models
Azim Akhtarshenas, Afshin Dini, Navid Ayoobi
Large Language Models (LLMs) have revo lutionized natural language processing Natural Language Processing (NLP), with Chat Generative Pre-trained Transformer (ChatGPT) standing out…