Dinoiser: Diffused conditional sequence learning by manipulating noises J Ye, Z Zheng, Y Bao, L Qian, M Wang TACL 2024, 2023 | 22 | 2023 |
Energy-based unknown intent detection with data manipulation Y Ouyang, J Ye, Y Chen, X Dai, S Huang, J Chen Findings of ACL2021, 2021 | 20 | 2021 |
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling J Zhan, J Dai, J Ye, Y Zhou, D Zhang, Z Liu, X Zhang, R Yuan, G Zhang, ... ACL 2024, 2024 | 19 | 2024 |
Diffusion language models can perform many tasks with scaling and instruction-finetuning J Ye, Z Zheng, Y Bao, L Qian, Q Gu arXiv preprint arXiv:2308.12219, 2023 | 5 | 2023 |
Data mixing laws: Optimizing data mixtures by predicting language modeling performance J Ye, P Liu, T Sun, Y Zhou, J Zhan, X Qiu arXiv preprint arXiv:2403.16952, 2024 | 3 | 2024 |
Out-of-distribution generalization challenge in dialog state tracking J Ye, Y Ouyang, Z Wu, X Dai NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022 | 1 | 2022 |
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation S Wang, S Li, T Sun, J Fu, Q Cheng, J Ye, J Ye, X Qiu, X Huang Findings of ACL 2024, 2024 | | 2024 |