| 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 | 323 | 2023 |
| Active prompting with chain-of-thought for large language models S Diao, P Wang, Y Lin, R Pan, X Liu, T Zhang arXiv preprint arXiv:2302.12246, 2023 | 184 | 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 | 145 | 2019 |
| Automatic prompt augmentation and selection with chain-of-thought from labeled data KS Shum*, S Diao*, T Zhang arXiv preprint arXiv:2302.12822, 2023 | 114 | 2023 |
| 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 | 98 | 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 | 95 | 2022 |
| R-Tuning: Instructing Large Language Models to Say ‘I Don’t Know’ H Zhang*, S Diao*, Y Lin*, Y Fung, Q Lian, X Wang, Y Chen, H Ji, T Zhang Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 73* | 2024 |
| 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 | 70* | 2023 |
| 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 Proceedings of the ACM on Web Conference 2024, 4095-4106, 2024 | 65 | 2024 |
| 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 | 61 | 2021 |
| 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 | 52 | 2023 |
| Llm pruning and distillation in practice: The minitron approach ST Sreenivas, S Muralidharan, R Joshi, M Chochowski, M Patwary, ... arXiv preprint arXiv:2408.11796, 2024 | 49* | 2024 |
| 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 | 49 | 2021 |
| Arithmetic control of llms for diverse user preferences: Directional preference alignment with multi-objective rewards H Wang, Y Lin, W Xiong, R Yang, S Diao, S Qiu, H Zhao, T Zhang arXiv preprint arXiv:2402.18571, 2024 | 42 | 2024 |
| 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 | 32 | 2023 |
| 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 | 30 | 2023 |
| 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 | 29* | 2022 |
| Mitigating the alignment tax of rlhf Y Lin*, H Lin*, W Xiong*, S Diao*, J Liu, J Zhang, R Pan, H Wang, W Hu, ... Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 27* | 2024 |
| 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 | 26 | 2021 |
| LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning R Pan, X Liu, S Diao, R Pi, J Zhang, C Han, T Zhang arXiv preprint arXiv:2403.17919, 2024 | 25* | 2024 |
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