| Raft: Reward ranked finetuning for generative foundation model alignment H Dong, W Xiong, D Goyal, Y Zhang, W Chow, R Pan, S Diao, J Zhang, ... arXiv preprint arXiv:2304.06767, 2023 | 127 | 2023 |
| ZEN: Pre-training Chinese text encoder enhanced by n-gram representations S Diao, J Bai, Y Song, T Zhang, Y Wang Findings of EMNLP 2020, 2019 | 121 | 2019 |
| Active prompting with chain-of-thought for large language models S Diao, P Wang, Y Lin, T Zhang arXiv preprint arXiv:2302.12246, 2023 | 90 | 2023 |
| Black-Box Prompt Learning for Pre-trained Language Models S Diao, Z Huang, R Xu, X Li, Y Lin, X Zhou, T Zhang Transactions on Machine Learning Research (TMLR), 2022 | 55 | 2022 |
| Automatic prompt augmentation and selection with chain-of-thought from labeled data KS Shum, S Diao, T Zhang arXiv preprint arXiv:2302.12822, 2023 | 52 | 2023 |
| Taming pre-trained language models with n-gram representations for low-resource domain adaptation S Diao, R Xu, H Su, Y Jiang, Y Song, T Zhang Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 46 | 2021 |
| Detgpt: Detect what you need via reasoning R Pi, J Gao, S Diao, R Pan, H Dong, J Zhang, L Yao, J Han, H Xu, ... arXiv preprint arXiv:2305.14167, 2023 | 42* | 2023 |
| Lmflow: An extensible toolkit for finetuning and inference of large foundation models S Diao, R Pan, H Dong, KS Shum, J Zhang, W Xiong, T Zhang arXiv preprint arXiv:2306.12420, 2023 | 37 | 2023 |
| Efficient neural network training via forward and backward propagation sparsification X Zhou, W Zhang, Z Chen, S Diao, T Zhang Advances in neural information processing systems 34, 15216-15229, 2021 | 32 | 2021 |
| Vlue: A multi-task multi-dimension benchmark for evaluating vision-language pre-training W Zhou, Y Zeng, S Diao, X Zhang International Conference on Machine Learning, 27395-27411, 2022 | 20* | 2022 |
| R-tuning: Teaching large language models to refuse unknown questions H Zhang, S Diao, Y Lin, YR Fung, Q Lian, X Wang, Y Chen, H Ji, T Zhang arXiv preprint arXiv:2311.09677, 2023 | 19 | 2023 |
| TILGAN: transformer-based implicit latent GAN for diverse and coherent text generation S Diao, X Shen, K Shum, Y Song, T Zhang Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 18 | 2021 |
| Write and Paint: Generative Vision-Language Models are Unified Modal Learners S Diao, W Zhou, X Zhang, J Wang ICLR 2023, 0 | 15* | |
| Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories S Diao, T Xu, R Xu, J Wang, T Zhang arXiv preprint arXiv:2306.05406, 2023 | 14 | 2023 |
| Speciality vs generality: An empirical study on catastrophic forgetting in fine-tuning foundation models Y Lin, L Tan, H Lin, Z Zheng, R Pi, J Zhang, S Diao, H Wang, H Zhao, ... arXiv preprint arXiv:2309.06256, 2023 | 10 | 2023 |
| Towards unifying medical vision-and-language pre-training via soft prompts Z Chen, S Diao, B Wang, G Li, X Wan Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 9 | 2023 |
| Keyphrase generation with cross-document attention S Diao, Y Song, T Zhang arXiv preprint arXiv:2004.09800, 2020 | 9 | 2020 |
| Unitime: A language-empowered unified model for cross-domain time series forecasting X Liu, J Hu, Y Li, S Diao, Y Liang, B Hooi, R Zimmermann arXiv preprint arXiv:2310.09751, 2023 | 8 | 2023 |
| GubaLex: Guba-oriented sentiment lexicon for big texts in finance Y Sun, M Fang, X Wang, S Diao 2017 13th International Conference on Semantics, Knowledge and Grids (SKG …, 2017 | 7 | 2017 |
| On the Difference of BERT-style and CLIP-style Text Encoders Z Chen, GH Chen, S Diao, X Wan, B Wang arXiv preprint arXiv:2306.03678, 2023 | 4 | 2023 |
Tong ZhangHKUSTVerified email at tongzhang-ml.org
