collaborators

13 papers

cs.CV2026

DocClaw: A Unified Agentic System for Intelligent Document Processing

Siqi Xiang, Zhipeng Xu, Yufei Liu +6

Intelligent document processing (IDP) encompasses a broad range of tasks, including optical character recognition (OCR), document question answering (DocQA), and key information ex…

cs.CV2026

Enhancing Large Multimodal Models in Key Information Extraction via Scene-Aware Document Synthesis

Zhipeng Xu, Zulong Chen, Qing Liu +6

Key Information Extraction (KIE) converts visually rich documents into structured data, but practical deployment remains challenging: strong performance often relies on costly on-s…

cs.CV2026

Latent Visual Cache for Video Reasoning

Yongheng Zhang, Zhipeng Xu, Hao Wu +4

Video reasoning requires Large Multimodal Models (LMMs) to remain grounded in dense evidence, yet existing systems largely adopt "read-once, generate-many" paradigm, in which visua…

cs.CL2026

CC-OCR V2: Fine-Grained Attribution of LMM Failures in Real-World Visual Document Understanding

Zhipeng Xu, Junhao Ji, Yuqi Xiong +13

Recent Large Multimodal Models (LMMs) have achieved remarkable progress on OCR-centric document understanding and processing tasks. Existing benchmarks primarily evaluate LMMs acro…

cs.CV2026

UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual Documents

Yifan Ji, Zhipeng Xu, Zhenghao Liu +7

Key Information Extraction (KIE) from real-world documents remains challenging due to substantial variations in layout structures, visual quality, and task-specific information req…

cs.CL2026

Mitigating Judgment Preference Bias in Large Language Models through Group-Based Polling

Shuliang Liu, Zhipeng Xu, Zhenghao Liu +6

Large Language Models (LLMs) as automatic evaluators, commonly referred to as LLM-as-a-Judge, have also attracted growing attention. This approach plays a vital role in aligning LL…