6 citations · 8 across the 6 of their papers we have counts for
7 papers
AIPOCH Open-Science: An Open-Source AI Research Workbench with Reproducible .science Packages
Wen Ouyang, Bocheng Huang, Qianyu Yao +76
AI-assisted research leaves instructions, computations, artifact revisions and checks whose relationships matter when another researcher receives the work. We present AIPOCH Open-S…
Deep Academic Survey: Stateful Agentic Closed-Loop Paradigm for Academic Survey Automation
Zhikai Xu, Zhucun Xue, Teng Hu +3
Academic surveys play a central role in organizing rapidly expanding scholarly literature, yet their construction requires extensive paper analysis, coherent knowledge organization…
DocTrace: Towards Traceable Long Document VQA via Hierarchical Evidence Graph Reasoning
Le Xiang, Zhicheng Guan, Hong Chen +5
Long Document Visual Question Answering (LongDocVQA) requires Multimodal Large Language Models (MLLMs) to locate, integrate, and reason over heterogeneous document elements distrib…
ERNIE 5.0 Technical Report
Haifeng Wang, Hua Wu, Tian Wu +432
In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…
Multi-Dimensional Knowledge Profiling with Large-Scale Literature Database and Hierarchical Retrieval
Zhucun Xue, Jiangning Zhang, Juntao Jiang +6
The rapid expansion of research across machine learning, vision, and language has produced a volume of publications that is increasingly difficult to synthesize. Traditional biblio…
Photonic implementation of quantum hidden subgroup database compression
Qianyi Wang, Feiyang Liu, Teng Hu +6
We experimentally demonstrate quantum data compression exploiting hidden subgroup symmetries using a photonic quantum processor. Classical databases containing generalized periodic…
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
Qiming Peng, Yinxu Pan, Wenjin Wang +12
Recent years have witnessed the rise and success of pre-training techniques in visually-rich document understanding. However, most existing methods lack the systematic mining and u…