Can LLMs Learn by Teaching? A Preliminary Study
Xuefei Ning*, Zifu Wang*, Shiyao Li*, Zinan Lin*, Peiran Yao*, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
* Equal contribution
Conference on Neural Information Processing Systems (NeurIPS), 2024
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang
International Conference on Learning Representations (ICLR), 2024
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union
Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip H.S. Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko
Conference on Neural Information Processing Systems (NeurIPS), 2023
Jaccard Metric Losses: Optimizing the Jaccard Index with Soft Labels
Zifu Wang, Xuefei Ning, Matthew B. Blaschko
Conference on Neural Information Processing Systems (NeurIPS), 2023
Dice Semimetric Losses: Optimizing the Dice Score with Soft Labels
Zifu Wang, Teodora Popordanoska, Jeroen Bertels, Robin Lemmens, Matthew B. Blaschko
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023
MRF-UNets: Searching UNet with Markov Random Fields
Zifu Wang, Matthew B. Blaschko
Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), 2022