Yongxin Shi
8 papers · 2023–2026 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(20)
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(4)
Deep Learning
(4)
Core AI
(4)
Natural Language Processing
(3)
Resources & Methods
(3)
Computer Science
(2)
Computer Vision
(2)
Interdisciplinary
(2)
Application Areas
(2)
Applications
(2)
Core Methods
(2)
Digital Humanities
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Keywords
benchmark evaluation
(2)
optical character recognition
(2)
retrieval-augmented generation
(2)
image restoration
(2)
multimodal large language model
(2)
cultural heritage
(2)
vision-language model
(1)
document analysis
(1)
question answering
(1)
instruction tuning
(1)
ancient chinese
(1)
diffusion model
(1)
domain adaptation
(1)
text representation
(1)
chinese classical literature
(1)
text generation
(1)
domain-specific evaluation
(1)
text line detection
(1)
character recognition
(1)
vision transformer
(1)
Papers
URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding
AAAI 2026
MCS-Bench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in Chinese Classical Studies
ACL 2025
Predicting the Original Appearance of Damaged Historical Documents
AAAI 2025
Reviving Cultural Heritage: A Novel Approach for Comprehensive Historical Document Restoration
ACL 2025
TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models
EMNLP 2024
UPOCR: Towards Unified Pixel-Level OCR Interface
ICML 2024
WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts
NeurIPS 2024
M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark
NeurIPS 2023