18 citations · 39 across the 16 of their papers we have counts for
5 papers · 1 filter
LongHisDoc: A Comprehensive Benchmark for Chinese Long Historical Document Understanding
Zeyu Shan, Yongxin Shi, Shihang Wu +4
Chinese historical documents are invaluable cultural treasures, but their complexity poses significant comprehension challenges for non-specialists. Despite the success of Large La…
URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding
Yongxin Shi, Jiapeng Wang, Zeyu Shan +3
Recent multimodal large language models (MLLMs) still struggle with long document understanding due to two fundamental challenges: information interference from abundant irrelevant…
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…
CBench: A Comprehensive Classical Chinese Understanding Benchmark for Large Language Models
Jiahuan Cao, Yongxin Shi, Dezhi Peng +2
Classical Chinese Understanding (CCU) holds significant value in preserving and exploration of the outstanding traditional Chinese culture. Recently, researchers have attempted to…
PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction
Zening Lin, Jiapeng Wang, Teng Li +4
Document pair extraction aims to identify key and value entities as well as their relationships from visually-rich documents. Most existing methods divide it into two separate task…