111 citations · 259 across the 9 of their papers we have counts for
9 papers
STAR-Pro: Stage-Wise Token Adaptive Reduction with Progressive Refinement for Efficient Large Vision-Language Models
Yichen Guo, Tinghao Wang, Qizhe Zhang +15
Large vision-language models (LVLMs) achieve strong multimodal understanding, but the hundreds to thousands of visual tokens they process impose substantial computational overhead,…
LongSkywork: A Training Recipe for Efficiently Extending Context Length in Large Language Models
Liang Zhao, Tianwen Wei, Liang Zeng +12
We introduce LongSkywork, a long-context Large Language Model (LLM) capable of processing up to 200,000 tokens. We provide a training recipe for efficiently extending context lengt…
Skywork: A More Open Bilingual Foundation Model
Tianwen Wei, Liang Zhao, Lichang Zhang +27
In this technical report, we present Skywork-13B, a family of large language models (LLMs) trained on a corpus of over 3.2 trillion tokens drawn from both English and Chinese texts…
Context Perception Parallel Decoder for Scene Text Recognition
Yongkun Du, Zhineng Chen, Caiyan Jia +4
Scene text recognition (STR) methods have struggled to attain high accuracy and fast inference speed. Autoregressive (AR)-based models implement the recognition in a character-by-c…
PP-StructureV2: A Stronger Document Analysis System
Chenxia Li, Ruoyu Guo, Jun Zhou +6
A large amount of document data exists in unstructured form such as raw images without any text information. Designing a practical document image analysis system is a meaningful bu…
PP-OCRv3: More Attempts for the Improvement of Ultra Lightweight OCR System
Chenxia Li, Weiwei Liu, Ruoyu Guo +9
Optical character recognition (OCR) technology has been widely used in various scenes, as shown in Figure 1. Designing a practical OCR system is still a meaningful but challenging…
SVTR: Scene Text Recognition with a Single Visual Model
Yongkun Du, Zhineng Chen, Caiyan Jia +5
Dominant scene text recognition models commonly contain two building blocks, a visual model for feature extraction and a sequence model for text transcription. This hybrid architec…
PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System
Yuning Du, Chenxia Li, Ruoyu Guo +9
Optical Character Recognition (OCR) systems have been widely used in various of application scenarios. Designing an OCR system is still a challenging task. In previous work, we pro…
PP-OCR: A Practical Ultra Lightweight OCR System
Yuning Du, Chenxia Li, Ruoyu Guo +8
The Optical Character Recognition (OCR) systems have been widely used in various of application scenarios, such as office automation (OA) systems, factory automations, online educa…