most citedMinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale

1 citations · 1 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV20261 cited

MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale

Bin Wang, Tianyao He, Linke Ouyang +40

Current document parsing methods advance primarily through model architecture innovation, while systematic engineering of training data remains underexplored. Yet state-of-the-art…

cs.DB2026

ByteHouse: ByteDance's Cloud-Native Data Warehouse for Real-Time Multimodal Data Analytics

Yuxing Han, Yu Lin, Yifeng Dong +13

With the rapid rise of intelligent data services, modern enterprises increasingly require efficient, multimodal, and cost-effective data analytics infrastructures. However, in Byte…

cs.CV2026

FireRed-OCR Technical Report

Hao Wu, Haoran Lou, Xinyue Li +19

We present FireRed-OCR, a systematic framework to specialize general VLMs into high-performance OCR models. Large Vision-Language Models (VLMs) have demonstrated impressive general…

cs.DB2026

Disk-Resident Graph ANN Search: An Experimental Evaluation

Xiaoyu Chen, Jinxiu Qu, Yitong Song +7

As data volumes grow while memory capacity remains limited, disk-resident graph-based approximate nearest neighbor (ANN) methods have become a practical alternative to memory-resid…

cs.DB2026

Qute: Towards Quantum-Native Database

Muzhi Chen, Xuanhe Zhou, Wei Zhou +7

This paper envisions a quantum database (Qute) that treats quantum computation as a first-class execution option. Unlike prior simulation-based methods that either run quantum algo…

cs.AI2026

ST-Raptor: An Agentic System for Semi-Structured Table QA

Jinxiu Qu, Zirui Tang, Hongzhang Huang +7

Semi-structured table question answering (QA) is a challenging task that requires (1) precise extraction of cell contents and positions and (2) accurate recovery of key implicit lo…