Wang, Qinsi, Ye, Hancheng, Chung, Ming-Yu, Liu, Yudong, Lin, Yueqian, Kuo, Martin, Ma, Mingyuan, Zhang, Jianyi, and Chen, Yiran. CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models. Retrieved from https://par.nsf.gov/biblio/10624127.

Wang, Qinsi, Ye, Hancheng, Chung, Ming-Yu, Liu, Yudong, Lin, Yueqian, Kuo, Martin, Ma, Mingyuan, Zhang, Jianyi, & Chen, Yiran. CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models. Retrieved from https://par.nsf.gov/biblio/10624127.

Wang, Qinsi, Ye, Hancheng, Chung, Ming-Yu, Liu, Yudong, Lin, Yueqian, Kuo, Martin, Ma, Mingyuan, Zhang, Jianyi, and Chen, Yiran. "CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models". Country unknown/Code not available: International Conference on Machine Learning (ICML). https://par.nsf.gov/biblio/10624127.

@article{osti_10624127,
place = {Country unknown/Code not available}, title = {CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models}, url = {https://par.nsf.gov/biblio/10624127}, abstractNote = {}, journal = {}, publisher = {International Conference on Machine Learning (ICML)}, author = {Wang, Qinsi and Ye, Hancheng and Chung, Ming-Yu and Liu, Yudong and Lin, Yueqian and Kuo, Martin and Ma, Mingyuan and Zhang, Jianyi and Chen, Yiran}, }