Quanfeng Lu

According to our database, Quanfeng Lu authored at least 12 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

UniFork: Exploring Modality Alignment for Unified Multimodal Understanding and Generation.

Teng Li, Quanfeng Lu, Lirui Zhao, Hao Li, Xizhou Zhu, Yu Qiao, Jun Zhang, Wenqi Shao

CoRR, June, 2025

LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking.

Qi Liu, Haozhe Duan, Yiqun Chen, Quanfeng Lu, Weiwei Sun, Jiaxin Mao

CoRR, April, 2025

MM-Eureka: Exploring Visual Aha Moment with Rule-based Large-scale Reinforcement Learning.

Fanqing Meng, Lingxiao Du, Zongkai Liu, Zhixiang Zhou, Quanfeng Lu, Daocheng Fu, Botian Shi, Wenhai Wang, Junjun He, Kaipeng Zhang, Ping Luo, Yu Qiao, Qiaosheng Zhang, Wenqi Shao

CoRR, March, 2025

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models.

Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian, Tianshuo Yang, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.

Fanqing Meng, Jiaqi Liao, Xinyu Tan, Wenqi Shao, Quanfeng Lu, Kaipeng Zhang, Yu Cheng, Dianqi Li, Yu Qiao, Ping Luo

CoRR, 2024

MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models.

Fanqing Meng, Jin Wang, Chuanhao Li, Quanfeng Lu, Hao Tian, Jiaqi Liao, Xizhou Zhu, Jifeng Dai, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao

CoRR, 2024

PhyBench: A Physical Commonsense Benchmark for Evaluating Text-to-Image Models.

Fanqing Meng, Wenqi Shao, Lixin Luo, Yahong Wang, Yiran Chen, Quanfeng Lu, Yue Yang, Tianshuo Yang, Kaipeng Zhang, Yu Qiao, Ping Luo

CoRR, 2024

GUI Odyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices.

Quanfeng Lu, Wenqi Shao, Zitao Liu, Fanqing Meng, Boxuan Li, Botong Chen, Siyuan Huang, Kaipeng Zhang, Yu Qiao, Ping Luo

CoRR, 2024

ChartAssisstant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning.

Fanqing Meng, Wenqi Shao, Quanfeng Lu, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo

CoRR, 2024

MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI.

Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang, Yuqi Lin, Shuo Liu, Jiayi Lei, Quanfeng Lu, Runjian Chen, Peng Xu, Renrui Zhang, Haozhe Zhang, Peng Gao, Yali Wang, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM.

Yutao Hu, Tianbin Li, Quanfeng Lu, Wenqi Shao, Junjun He, Yu Qiao, Ping Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ChartAssistant: A Universal Chart Multimodal Language Model via Chart-to-Table Pre-training and Multitask Instruction Tuning.

Fanqing Meng, Wenqi Shao, Quanfeng Lu, Peng Gao, Kaipeng Zhang, Yu Qiao, Ping Luo

Proceedings of the Findings of the Association for Computational Linguistics, 2024