activity
20212026
most citedLLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

119 citations · 379 across the 62 of their papers we have counts for

collaborators
Showing 2026Show all

9 papers · 1 filter

cs.CV2026

From Diagnosis to Correction: Benchmarking and Improving Real-World Table Parsing

Jutao Xiao, Yuan Qu, Dongsheng Ma +7

Recent document parsers achieve table TEDS scores above 93 on OmniDocBench v1.6, yet community feedback and our audit reveal persistent failures on complex real-world tables. To qu…

cs.AI2026

PosterMELD: Multi-Agent Paper-to-Poster Generation for Controllable Design Diversity with Editable Print-Ready Outputs

Haojie Hu, Chenhao Dang, Yaojia Liu +3

Scientific poster construction compresses a long multimodal paper into a readable, editable canvas. Existing systems hide request-level failures by scoring only completed outputs;…

cs.MM2026

MLLM-DataEngine: Closing the Loop of Multimodal Instruction Tuning Data Generation

Zhiyuan Zhao, Bin Wang, Linke Ouyang +5

In this paper, we propose MLLM-DataEngine, a novel closed-loop system that bridges data generation, model training, and evaluation. Within each loop iteration, the MLLM-DataEngine…

cs.AI2026

ReMMD: Realistic Multilingual Multi-Image Agentic Verification for Multimodal Misinformation Detection

Chenhao Dang, Dantong Zhu, Jun Yang +2

Multimodal misinformation detection is increasingly important because viral posts now combine long multilingual narratives, several images, mixed provenance, and subtle cross-modal…

cs.CV2026

MinerU-Popo: Universal Post-Processing Model for Structured Document Parsing

Bangrui Xu, Ziyang Miao, Xuanhe Zhou +7

VLM-based OCR models have become the de facto choice for document parsing, as they can accurately extract page-level elements (e.g., paragraphs within individual pages) together wi…

cs.CV2026

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Zhongying Deng, Cheng Tang, Ziyan Huang +124

Foundation models have demonstrated remarkable success across diverse domains and tasks, primarily due to the thrive of large-scale, diverse, and high-quality datasets. However, in…

cs.AI2026

The Trinity of Consistency as a Defining Principle for General World Models

Jingxuan Wei, Siyuan Li, Yuhang Xu +21

The construction of World Models capable of learning, simulating, and reasoning about objective physical laws constitutes a foundational challenge in the pursuit of Artificial Gene…

cs.IR2026

MoDora: Tree-Based Semi-Structured Document Analysis System

Bangrui Xu, Qihang Yao, Zirui Tang +8

Semi-structured documents integrate diverse interleaved data elements (e.g., tables, charts, hierarchical paragraphs) arranged in various and often irregular layouts. These documen…

cs.DB2026

Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs

Wei Zhou, Jun Zhou, Haoyu Wang +16

Data preparation aims to denoise raw datasets, uncover cross-dataset relationships, and extract valuable insights from them, which is essential for a wide range of data-centric app…