338 citations · 338 across the 3 of their papers we have counts for
9 papers
"I know myself better, but not really greatly": How Well Can LLMs Detect and Explain LLM-Generated Texts?
Jiazhou Ji, Jie Guo, Weidong Qiu +6
Distinguishing between human- and LLM-generated texts is crucial given the risks associated with misuse of LLMs. This paper investigates detection and explanation capabilities of c…
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
Jiazhou Ji, Ruizhe Li, Shujun Li +6
As LLMs rapidly advance, increasing concerns arise regarding risks about actual authorship of texts we see online and in real world. The task of distinguishing LLM-authored texts i…
When Graph Convolution Meets Double Attention: Online Privacy Disclosure Detection with Multi-Label Text Classification
Zhanbo Liang, Jie Guo, Weidong Qiu +2
With the rise of Web 2.0 platforms such as online social media, people's private information, such as their location, occupation and even family information, is often inadvertently…
Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation
Xin Yuan, Jie Guo, Weidong Qiu +2
Mis- and disinformation online have become a major societal problem as major sources of online harms of different kinds. One common form of mis- and disinformation is out-of-contex…
Scale Invariant Domain Generalization Image Recapture Detection
Jinian Luo, Jie Guo, Weidong Qiu +2
Recapturing and rebroadcasting of images are common attack methods in insurance frauds and face identification spoofing, and an increasing number of detection techniques were intro…
ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction
Zheng Huang, Kai Chen, Jianhua He +4
Scanned receipts OCR and key information extraction (SROIE) represent the processeses of recognizing text from scanned receipts and extracting key texts from them and save the extr…