Papers
Groningen Team F at SemEval-2024 Task 8: Detecting Machine-Generated Text using Feature-Based Machine Learning Models
Rina Donker, Björn Overbeek, Dennis Thulden et al.
DUTh at SemEval 2024 Task 8: Comparing classic Machine Learning Algorithms and LLM based methods for Multigenerator, Multidomain and Multilingual Machine-Generated Text Detection
Theodora Kyriakou, Ioannis Maslaris, Avi Arampatzis
MAGE: Machine-generated Text Detection in the Wild
Yafu Li, Qintong Li, Leyang Cui et al.
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks
Yichen Wang, Shangbin Feng, Abe Hou et al.
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection
Yuxia Wang, Jonibek Mansurov, Petar Ivanov et al.
Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs
Zae Myung Kim, Kwang Lee, Preston Zhu et al.
Leveraging Machine-Generated Rationales to Facilitate Social Meaning Detection in Conversations
Ritam Dutt, Zhen Wu, Jiaxin Shi et al.
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
Liam Dugan, Alyssa Hwang, Filip Trhlík et al.
IMGTB: A Framework for Machine-Generated Text Detection Benchmarking
Michal Spiegel, Dominik Macko
k-SemStamp: A Clustering-Based Semantic Watermark for Detection of Machine-Generated Text
Abe Hou, Jingyu Zhang, Yichen Wang et al.
Machine-Generated Text Localization
Zhongping Zhang, Wenda Qin, Bryan Plummer
Humanizing Machine-Generated Content: Evading AI-Text Detection through Adversarial Attack
Ying Zhou, Ben He, Le Sun
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection
Yuxia Wang, Jonibek Mansurov, Petar Ivanov et al.
Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors
Niloofar Mireshghallah, Justus Mattern, Sicun Gao et al.
LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection
Mervat Abassy, Kareem Elozeiri, Alexander Aziz et al.
Authorship Obfuscation in Multilingual Machine-Generated Text Detection
Dominik Macko, Robert Moro, Adaku Uchendu et al.
Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection
Iqra Zahid, Yue Chang, Tharindu Madusanka et al.
Detecting Machine-Generated Long-Form Content with Latent-Space Variables
Yufei Tian, Zeyu Pan, Nanyun Peng
Gaps or Hallucinations? Scrutinizing Machine-Generated Legal Analysis for Fine-grained Text Evaluations
Abe Hou, William Jurayj, Nils Holzenberger et al.
Few-Shot Detection of Machine-Generated Text using Style Representations
Rafael Alberto Rivera Soto, Kailin Koch, Aleem Khan et al.
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
Shuhai Zhang, Yiliao Song, Jiahao Yang et al.
Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
Guangsheng Bao, Yanbin Zhao, Zhiyang Teng et al.
GPT-who: An Information Density-based Machine-Generated Text Detector
Saranya Venkatraman, Adaku Uchendu, Dongwon Lee
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
Qihui Zhang, Chujie Gao, Dongping Chen et al.