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20212025
most citedDatasets for Large Language Models: A Comprehensive Survey

16 citations · 33 across the 11 of their papers we have counts for

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11 papers

cs.CV2025

Capturing More: Learning Multi-Domain Representations for Robust Online Handwriting Verification

Peirong Zhang, Kai Ding, Lianwen Jin

In this paper, we propose SPECTRUM, a temporal-frequency synergistic model that unlocks the untapped potential of multi-domain representation learning for online handwriting verifi…

cs.CL2024

TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models

Jiahuan Cao, Dezhi Peng, Peirong Zhang +4

Classical Chinese is a gateway to the rich heritage and wisdom of ancient China, yet its complexities pose formidable comprehension barriers for most modern people without speciali…

cs.CL2024★ 16 cited

Datasets for Large Language Models: A Comprehensive Survey

Yang Liu, Jiahuan Cao, Chongyu Liu +2

This paper embarks on an exploration into the Large Language Model (LLM) datasets, which play a crucial role in the remarkable advancements of LLMs. The datasets serve as the found…

cs.CV2023★ 1 cited

UPOCR: Towards Unified Pixel-Level OCR Interface

Dezhi Peng, Zhenhua Yang, Jiaxin Zhang +5

Existing optical character recognition (OCR) methods rely on task-specific designs with divergent paradigms, architectures, and training strategies, which significantly increases t…

cs.CV2023★ 4 cited

DocAligner: Annotating Real-world Photographic Document Images by Simply Taking Pictures

Jiaxin Zhang, Bangdong Chen, Hiuyi Cheng +3

Recently, there has been a growing interest in research concerning document image analysis and recognition in photographic scenarios. However, the lack of labeled datasets for this…

cs.CV2023★ 5 cited

MDoc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis

Hiuyi Cheng, Peirong Zhang, Sihang Wu +6

Document layout analysis is a crucial prerequisite for document understanding, including document retrieval and conversion. Most public datasets currently contain only PDF document…

cs.CV2022★ 1 cited

Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild

Jiaxin Zhang, Canjie Luo, Lianwen Jin +2

Camera-captured document images usually suffer from perspective and geometric deformations. It is of great value to rectify them when considering poor visual aesthetics and the det…

cs.CV2022★ 1 cited

Don't Forget Me: Accurate Background Recovery for Text Removal via Modeling Local-Global Context

Chongyu Liu, Lianwen Jin, Yuliang Liu +4

Text removal has attracted increasingly attention due to its various applications on privacy protection, document restoration, and text editing. It has shown significant progress w…

cs.CV2022★ 1 cited

SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition

Mingxin Huang, Yuliang Liu, Zhenghao Peng +6

End-to-end scene text spotting has attracted great attention in recent years due to the success of excavating the intrinsic synergy of the scene text detection and recognition. How…

cs.CL2022★ 2 cited

LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding

Jiapeng Wang, Lianwen Jin, Kai Ding

Structured document understanding has attracted considerable attention and made significant progress recently, owing to its crucial role in intelligent document processing. However…

cs.CV2021★ 2 cited

Tag, Copy or Predict: A Unified Weakly-Supervised Learning Framework for Visual Information Extraction using Sequences

Jiapeng Wang, Tianwei Wang, Guozhi Tang +4

Visual information extraction (VIE) has attracted increasing attention in recent years. The existing methods usually first organized optical character recognition (OCR) results int…