Yongxin Shi

According to our database, Yongxin Shi authored at least 13 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

OCR-Reasoning Benchmark: Unveiling the True Capabilities of MLLMs in Complex Text-Rich Image Reasoning.

Mingxin Huang, Yongxin Shi, Dezhi Peng, Songxuan Lai, Zecheng Xie, Lianwen Jin

CoRR, May, 2025

MegaHan97K: A large-scale dataset for mega-category Chinese character recognition with over 97K categories.

Yuyi Zhang, Yongxin Shi, Peirong Zhang, Yixin Zhao, Zhenhua Yang, Lianwen Jin

Pattern Recognit., 2025

RDFCNet: RGB-guided depth feature calibration network for RGB-D salient object detection.

Weiyi Wei, Yongxin Shi, Yibin Wang, Sixuan Liu

Neurocomputing, 2025

Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration.

Yuyi Zhang, Peirong Zhang, Zhenhua Yang, Pengyu Yan, Yongxin Shi, Pengwei Liu, Fengjun Guo, Lianwen Jin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

MCS-Bench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in Chinese Classical Studies.

Yang Liu, Jiahuan Cao, Hiuyi Cheng, Yongxin Shi, Kai Ding, Lianwen Jin

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Predicting the Original Appearance of Damaged Historical Documents.

Zhenhua Yang, Dezhi Peng, Yongxin Shi, Yuyi Zhang, Chongyu Liu, Lianwen Jin

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Multi-View Scene Classification Based on Feature Integration and Evidence Decision Fusion.

Weixun Zhou, Yongxin Shi, Xiao Huang

Remote. Sens., March, 2024

C³Bench: A Comprehensive Classical Chinese Understanding Benchmark for Large Language Models.

Jiahuan Cao, Yongxin Shi, Dezhi Peng, Yang Liu, Lianwen Jin

CoRR, 2024

WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts.

Jiahuan Cao, Yang Liu, Yongxin Shi, Kai Ding, Lianwen Jin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

UPOCR: Towards Unified Pixel-Level OCR Interface.

Dezhi Peng, Zhenhua Yang, Jiaxin Zhang, Chongyu Liu, Yongxin Shi, Kai Ding, Fengjun Guo, Lianwen Jin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Jiahuan Cao, Dezhi Peng, Peirong Zhang, Yongxin Shi, Yang Liu, Kai Ding, Lianwen Jin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation.

Yongxin Shi, Dezhi Peng, Wenhui Liao, Zening Lin, Xinhong Chen, Chongyu Liu, Yuyi Zhang, Lianwen Jin

CoRR, 2023

M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark.

Yongxin Shi, Chongyu Liu, Dezhi Peng, Cheng Jian, Jiarong Huang, Lianwen Jin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023