1 citations · 2 across the 14 of their papers we have counts for
4 papers · 1 filter
Temporal Flattening in LLM-Generated Text: Comparing Human and LLM Writing Trajectories
Zhanwei Cao, YeoJin Go, Yifan Hu +1
Large language models (LLMs) are increasingly used in daily applications, from content generation to code writing, where each interaction treats the model as stateless, generating…
PADBen: A Comprehensive Benchmark for Evaluating AI Text Detectors Against Paraphrase Attacks
Yiwei Zha, Rui Min, Shanu Sushmita
While AI-generated text (AIGT) detectors achieve over 90\% accuracy on direct LLM outputs, they fail catastrophically against iteratively-paraphrased content. We investigate why it…
SMLT-MUGC: Small, Medium, and Large Texts -- Machine versus User-Generated Content Detection and Comparison
Anjali Rawal, Hui Wang, Youjia Zheng +2
Large language models (LLMs) have gained significant attention due to their ability to mimic human language. Identifying texts generated by LLMs is crucial for understanding their…
MUGC: Machine Generated versus User Generated Content Detection
Yaqi Xie, Anjali Rawal, Yujing Cen +3
As advanced modern systems like deep neural networks (DNNs) and generative AI continue to enhance their capabilities in producing convincing and realistic content, the need to dist…