@misc{he2024videoscorebuildingautomaticmetrics,title={VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation},author={He, Xuan and Jiang, Dongfu and Zhang, Ge and Ku, Max and Soni, Achint and Siu, Sherman and Chen, Haonan and Chandra, Abhranil and Jiang, Ziyan and Arulraj, Aaran and Wang, Kai and Do, Quy Duc and Ni, Yuansheng and Lyu, Bohan and Narsupalli, Yaswanth and Fan, Rongqi and Lyu, Zhiheng and Lin, Yuchen and Chen, Wenhu},booktitle={Empirical Methods in Natural Language Processing},year={2024},selected=false,bibtex_show=false}
NIPS 2024
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
Yubo Wang, Xueguang Ma, Ge Zhang, Yuansheng Ni, Abhranil Chandra, and 12 more authors
@misc{wang2024mmlupro,title={MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark},author={Wang, Yubo and Ma, Xueguang and Zhang, Ge and Ni, Yuansheng and Chandra, Abhranil and Guo, Shiguang and Ren, Weiming and Arulraj, Aaran and He, Xuan and Jiang, Ziyan and Li, Tianle and Ku, Max and Wang, Kai and Zhuang, Alex and Fan, Rongqi and Yue, Xiang and Chen, Wenhu},year={2024},booktitle={Conference on Neural Information Processing Systems},selected=false,bibtex_show=false}
NIPS 2024
GenAI Arena: An Open Evaluation Platform for Generative Models
Dongfu Jiang*, Max Ku*, Tianle Li*, Yuansheng Ni, Shizhuo Sun, and 2 more authors
@misc{jiang2024genai,title={GenAI Arena: An Open Evaluation Platform for Generative Models},author={Jiang*, Dongfu and Ku*, Max and Li*, Tianle and Ni, Yuansheng and Sun, Shizhuo and Fan, Rongqi and Chen, Wenhu},year={2024},booktitle={Conference on Neural Information Processing Systems},selected=true,bibtex_show=false}
@article{jiang2024mantis,title={MANTIS: Interleaved Multi-Image Instruction Tuning},author={Jiang, Dongfu and He, Xuan and Zeng, Huaye and Wei, Cong and Ku, Max and Liu, Qian and Chen, Wenhu},journal={Transactions on Machine Learning Research},year={2024},selected=false,bibtex_show=false}
TMLR 2024
AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks
Max Ku*, Cong Wei*, Weiming Ren*, Harry Yang, and Wenhu Chen
@article{ku2024anyv2v,title={AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks},author={Ku*, Max and Wei*, Cong and Ren*, Weiming and Yang, Harry and Chen, Wenhu},journal={Transactions on Machine Learning Research},year={2024},selected=true,bibtex_show=false}
ACL 2024
VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation
Max Ku, Dongfu Jiang, Cong Wei, Xiang Yue, and Wenhu Chen
In The 62nd Annual Meeting of the Association for Computational Linguistics , 2024
@inproceedings{Ku2023VIEScoreTE,title={VIEScore: Towards Explainable Metrics for Conditional Image Synthesis Evaluation},author={Ku, Max and Jiang, Dongfu and Wei, Cong and Yue, Xiang and Chen, Wenhu},booktitle={The 62nd Annual Meeting of the Association for Computational Linguistics},year={2024},selected=true,bibtex_show=false}
ICLR 2024
ImagenHub: Standardizing the evaluation of conditional image generation models
Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu, and 2 more authors
In The Twelfth International Conference on Learning Representations , 2024
@inproceedings{ku2024imagenhub,title={ImagenHub: Standardizing the evaluation of conditional image generation models},author={Ku, Max and Li, Tianle and Zhang, Kai and Lu, Yujie and Fu, Xingyu and Zhuang, Wenwen and Chen, Wenhu},booktitle={The Twelfth International Conference on Learning Representations},year={2024},twitter={https://twitter.com/vinesmsuic/status/1717564355212951701},selected=true,bibtex_show=false}
@article{li2023dreamedit,title={DreamEdit: Subject-driven Image Editing},author={Li, Tianle and Ku*, Max and Wei*, Cong and Chen, Wenhu},journal={Transactions on Machine Learning Research},year={2023},selected=true,bibtex_show=false}
EMNLP 2023
TheoremQA: A Theorem-driven Question Answering dataset
Wenhu Chen, Ming Yin, Max Ku, Yixin Wan, Xueguang Ma, and 4 more authors
In Empirical Methods in Natural Language Processing , 2023
@inproceedings{chen2023theoremqa,title={TheoremQA: A Theorem-driven Question Answering dataset},author={Chen, Wenhu and Yin, Ming and Ku, Max and Wan, Yixin and Ma, Xueguang and Xu, Jianyu and Xia, Tony and Wang, Xinyi and Lu, Pan},booktitle={Empirical Methods in Natural Language Processing},year={2023},selected=false,bibtex_show=false}
ICIP 2023
Intelligent Painter: Picture Composition with Resampling Diffusion Model
Max Ku, Wan-Chi Siu, Xi Cheng, and H. Anthony Chan
In International Conference on Image Processing , 2023
@inproceedings{ku2023ipainter,author={Ku, Max and Siu, Wan-Chi and Cheng, Xi and Chan, H. Anthony},year={2023},pages={2255-2259},title={Intelligent Painter: Picture Composition with Resampling Diffusion Model},doi={10.1109/ICIP49359.2023.10222829},booktitle={International Conference on Image Processing},selected=true,bibtex_show=false}
