31 citations · 45 across the 9 of their papers we have counts for
9 papers
Logographic Character Visual Pretraining via Semantic-based Contrastive Learning
Daqian Shi, Wei Cao, Xiaoyu Zheng +3
Current deep learning-based character vision studies, e.g., text recognition, character image denoising, and historical text completion, are offering new solutions for learning, ma…
Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning
Rui Song, Lida Shi, Ruihua Qi +2
In recent years, rapid advances in Multimodal Large Language Models (MLLMs) have increasingly stimulated research on ancient Chinese scripts. As the evolution of written characters…
AncientBench: Towards Comprehensive Evaluation on Excavated and Transmitted Chinese Corpora
Zhihan Zhou, Daqian Shi, Rui Song +3
Comprehension of ancient texts plays an important role in archaeology and understanding of Chinese history and civilization. The rapid development of large language models needs be…
InteChar: A Unified Oracle Bone Character List for Ancient Chinese Language Modeling
Xiaolei Diao, Zhihan Zhou, Lida Shi +4
Constructing historical language models (LMs) plays a crucial role in aiding archaeological provenance studies and understanding ancient cultures. However, existing resources prese…
Ancient Script Image Recognition and Processing: A Review
Xiaolei Diao, Rite Bo, Yanling Xiao +8
Ancient scripts, e.g., Egyptian hieroglyphs, Oracle Bone Inscriptions, and Ancient Greek inscriptions, serve as vital carriers of human civilization, embedding invaluable historica…
Shortcut Learning in In-Context Learning: A Survey
Rui Song, Yingji Li, Lida Shi +2
Shortcut learning refers to the phenomenon where models employ simple, non-robust decision rules in practical tasks, which hinders their generalization and robustness. With the rap…
Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness
Jian Li, Haojing Huang, Yujia Zhang +6
Recently, there has been significant interest in replacing the reward model in Reinforcement Learning with Human Feedback (RLHF) methods for Large Language Models (LLMs), such as D…
Toward Zero-shot Character Recognition: A Gold Standard Dataset with Radical-level Annotations
Xiaolei Diao, Daqian Shi, Jian Li +5
Optical character recognition (OCR) methods have been applied to diverse tasks, e.g., street view text recognition and document analysis. Recently, zero-shot OCR has piqued the int…
CharFormer: A Glyph Fusion based Attentive Framework for High-precision Character Image Denoising
Daqian Shi, Xiaolei Diao, Lida Shi +4
Degraded images commonly exist in the general sources of character images, leading to unsatisfactory character recognition results. Existing methods have dedicated efforts to resto…