338 citations · 387 across the 10 of their papers we have counts for
10 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…
GFTE: Graph-based Financial Table Extraction
Yiren Li, Zheng Huang, Junchi Yan +3
Tabular data is a crucial form of information expression, which can organize data in a standard structure for easy information retrieval and comparison. However, in financial indus…
Double Supervised Network with Attention Mechanism for Scene Text Recognition
Yuting Gao, Zheng Huang, Yuchen Dai +3
In this paper, we propose Double Supervised Network with Attention Mechanism (DSAN), a novel end-to-end trainable framework for scene text recognition. It incorporates one text att…
Fused Text Segmentation Networks for Multi-oriented Scene Text Detection
Yuchen Dai, Zheng Huang, Yuting Gao +4
In this paper, we introduce a novel end-end framework for multi-oriented scene text detection from an instance-aware semantic segmentation perspective. We present Fused Text Segmen…
Bi-directional LSTM Recurrent Neural Network for Chinese Word Segmentation
Yushi Yao, Zheng Huang
Recurrent neural network(RNN) has been broadly applied to natural language processing(NLP) problems. This kind of neural network is designed for modeling sequential data and has be…