1 citations · 1 across the 7 of their papers we have counts for
7 papers
GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents
V Team, Wenyi Hong, Xiaotao Gu +94
We present GLM-5V-Turbo, a step toward native foundation models for multimodal agents. As foundation models are increasingly deployed in real environments, agentic capability depen…
Generative Compositor for Few-Shot Visual Information Extraction
Zhibo Yang, Wei Hua, Sibo Song +4
Visual Information Extraction (VIE), aiming at extracting structured information from visually rich document images, plays a pivotal role in document processing. Considering variou…
HIP: Hierarchical Point Modeling and Pre-training for Visual Information Extraction
Rujiao Long, Pengfei Wang, Zhibo Yang +1
End-to-end visual information extraction (VIE) aims at integrating the hierarchical subtasks of VIE, including text spotting, word grouping, and entity labeling, into a unified fra…
VL-Reader: Vision and Language Reconstructor is an Effective Scene Text Recognizer
Humen Zhong, Zhibo Yang, Zhaohai Li +4
Text recognition is an inherent integration of vision and language, encompassing the visual texture in stroke patterns and the semantic context among the character sequences. Towar…
Platypus: A Generalized Specialist Model for Reading Text in Various Forms
Peng Wang, Zhaohai Li, Jun Tang +4
Reading text from images (either natural scenes or documents) has been a long-standing research topic for decades, due to the high technical challenge and wide application range. P…
Visual Text Generation in the Wild
Yuanzhi Zhu, Jiawei Liu, Feiyu Gao +6
Recently, with the rapid advancements of generative models, the field of visual text generation has witnessed significant progress. However, it is still challenging to render high-…
OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition
Jianqiang Wan, Sibo Song, Wenwen Yu +6
Recently, visually-situated text parsing (VsTP) has experienced notable advancements, driven by the increasing demand for automated document understanding and the emergence of Gene…