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From the 1 of 44 linked papers with an AI index.

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20242026
most citedVLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

3 citations · 4 across the 11 of their papers we have counts for

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cs.CV20263 cited

VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Haodong Duan, Xinyu Fang, Junming Yang +41

We present VLMEvalKit: an open-source toolkit for evaluating large multi-modality models based on PyTorch. The toolkit aims to provide a user-friendly and comprehensive framework f…

cs.CV2026

ETCHR: Editing To Clarify and Harness Reasoning

Beichen Zhang, Yuhong Liu, Jinsong Li +3

Multimodal Large Language Models have advanced visual reasoning, yet a purely textual chain of thought remains a bottleneck for questions that require fine-grained focus or view tr…

cs.CV2026

Visual-ERM: Reward Modeling for Visual Equivalence

Ziyu Liu, Shengyuan Ding, Xinyu Fang +7

Vision-to-code tasks require models to reconstruct structured visual inputs, such as charts, tables, and SVGs, into executable or structured representations with high visual fideli…

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.CV2025

Creation-MMBench: Assessing Context-Aware Creative Intelligence in MLLM

Xinyu Fang, Zhijian Chen, Kai Lan +10

Creativity is a fundamental aspect of intelligence, involving the ability to generate novel and appropriate solutions across diverse contexts. While Large Language Models (LLMs) ha…

cs.CV2024

HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation

Zhenzhi Wang, Yixuan Li, Yanhong Zeng +8

Human image animation involves generating videos from a character photo, allowing user control and unlocking the potential for video and movie production. While recent approaches y…