| Raft: Reward ranked finetuning for generative foundation model alignment H Dong, W Xiong, D Goyal, R Pan, S Diao, J Zhang, K Shum, T Zhang Transactions on Machine Learning Research (TMLR), 2023 | 128 | 2023 |
| Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data KS Shum, S Diao, T Zhang In Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 52 | 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 |
| 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 |
| Ragtruth: A hallucination corpus for developing trustworthy retrieval-augmented language models Y Wu, J Zhu, S Xu, K Shum, C Niu, R Zhong, J Song, T Zhang arXiv preprint arXiv:2401.00396, 2023 | 3 | 2023 |
| Plum: Prompt learning using metaheuristic R Pan, S Xing, S Diao, X Liu, K Shum, J Zhang, T Zhang arXiv preprint arXiv:2311.08364, 2023 | 3 | 2023 |
Shizhe DiaoHong Kong University of Science and TechnologyVerified email at connect.ust.hk
