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AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?
28 October 2024
Han Bao
Yue Huang
Yanbo Wang
Jiayi Ye
Xiangqi Wang
Xiuying Chen
Mohamed Elhoseiny
X. Zhang
Mohamed Elhoseiny
Xiangliang Zhang
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Papers citing
"AutoBench-V: Can Large Vision-Language Models Benchmark Themselves?"
5 / 5 papers shown
Title
4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding
Wenxuan Zhu
Bing Li
Cheng Zheng
Jinjie Mai
Jun-Cheng Chen
...
Abdullah Hamdi
Sara Rojas Martinez
Chia-Wen Lin
Mohamed Elhoseiny
Bernard Ghanem
VLM
48
0
0
22 Mar 2025
UPME: An Unsupervised Peer Review Framework for Multimodal Large Language Model Evaluation
Qihui Zhang
Munan Ning
Zheyuan Liu
Yanbo Wang
Jiayi Ye
Yue Huang
Shuo Yang
Xiao Chen
Y. Song
Li Yuan
LRM
56
0
0
19 Mar 2025
CODESYNC: Synchronizing Large Language Models with Dynamic Code Evolution at Scale
Chenlong Wang
Zhaoyang Chu
Zhengxiang Cheng
Xuyi Yang
Kaiyue Qiu
Yao Wan
Zhou Zhao
Xuanhua Shi
D. Z. Chen
ALM
SyDa
35
0
0
23 Feb 2025
MMGenBench: Fully Automatically Evaluating LMMs from the Text-to-Image Generation Perspective
Hailang Huang
Yong Wang
Zixuan Huang
Huaqiu Li
Tongwen Huang
Xiangxiang Chu
Richong Zhang
MLLM
LM&MA
EGVM
80
0
0
21 Nov 2024
MEMO-Bench: A Multiple Benchmark for Text-to-Image and Multimodal Large Language Models on Human Emotion Analysis
Yingjie Zhou
Zicheng Zhang
Jiezhang Cao
Jun Jia
Yanwei Jiang
Farong Wen
Xiaohong Liu
Xiongkuo Min
Guangtao Zhai
39
4
0
18 Nov 2024
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