Is chatgpt a good nlg evaluator? a preliminary study J Wang, Y Liang, F Meng, Z Sun, H Shi, Z Li, J Xu, J Qu, J Zhou arXiv preprint arXiv:2303.04048, 2023 | 305 | 2023 |
Is chatgpt a good NLG evaluator J Wang, Y Liang, F Meng, H Shi, Z Li, J Xu, J Qu, J Zhou A preliminary study. CoRR, abs/2303.04048, 2023 | 27 | 2023 |
Self-supervised document clustering based on bert with data augment H Shi, C Wang arXiv preprint arXiv:2011.08523, 2020 | 15 | 2020 |
LSTM-based traffic prediction in support of periodically light path reconfiguration in hybrid data center network H Shi, C Wang 2018 IEEE 4th International Conference on Computer and Communications (ICCC …, 2018 | 12 | 2018 |
LayerConnect: Hypernetwork-assisted inter-layer connector to enhance parameter efficiency H Shi, R Zhang, J Wang, C Wang, Y Zheng, T Sakai Proceedings of the 29th International Conference on Computational …, 2022 | 8 | 2022 |
A Siamese CNN architecture for learning Chinese sentence similarity H Shi, C Wang, T Sakai Proceedings of the 1st Conference of the Asia-Pacific Chapter of the …, 2020 | 6 | 2020 |
Self-supervised and few-shot contrastive learning frameworks for text clustering H Shi, T Sakai IEEE Access, 2023 | 4 | 2023 |
GOAL: Towards benchmarking few-shot sports game summarization J Wang, T Zhang, H Shi arXiv preprint arXiv:2207.08635, 2022 | 3 | 2022 |
A simple and effective usage of self-supervised contrastive learning for text clustering H Shi, C Wang, T Sakai 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 1 | 2021 |
CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models H Shi, J Wang, J Xu, C Wang, T Sakai arXiv preprint arXiv:2405.12174, 2024 | | 2024 |
Enhancing Parameter Efficiency in Model Inference Using an Ultralight Inter-Transformer Linear Structure H Shi, T Sakai IEEE Access 12, 43734-43746, 2024 | | 2024 |
Towards Consistency Filtering-Free Unsupervised Learning for Dense Retrieval H Shi, S Fujita, T Sakai arXiv preprint arXiv:2308.02926, 2023 | | 2023 |
Experiments on Unsupervised Text Classification based on Graph Neural Networks H SHI, C WANG, T SAKAI | | |