Qwen technical report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... arXiv preprint arXiv:2309.16609, 2023 | 1853 | 2023 |
Qwen2. 5 technical report A Yang, B Yang, B Zhang, B Hui, B Zheng, B Yu, C Li, D Liu, F Huang, ... arXiv preprint arXiv:2412.15115, 2024 | 823 | 2024 |
A knowledge-enhanced pretraining model for commonsense story generation J Guan, F Huang, Z Zhao, X Zhu, M Huang Transactions of the Association for Computational Linguistics 8, 93-108, 2020 | 272 | 2020 |
Qwen2. 5-coder technical report B Hui, J Yang, Z Cui, J Yang, D Liu, L Zhang, T Liu, J Zhang, B Yu, K Lu, ... arXiv preprint arXiv:2409.12186, 2024 | 90 | 2024 |
Directed acyclic transformer for non-autoregressive machine translation F Huang, H Zhou, Y Liu, H Li, M Huang International Conference on Machine Learning, 9410-9428, 2022 | 60 | 2022 |
ARAML: A stable adversarial training framework for text generation P Ke, F Huang, M Huang, X Zhu arXiv preprint arXiv:1908.07195, 2019 | 24 | 2019 |
Training-free long-context scaling of large language models C An, F Huang, J Zhang, S Gong, X Qiu, C Zhou, L Kong arXiv preprint arXiv:2402.17463, 2024 | 23 | 2024 |
On the learning of non-autoregressive transformers F Huang, T Tao, H Zhou, L Li, M Huang International Conference on Machine Learning, 9356-9376, 2022 | 20 | 2022 |
NAST: A non-autoregressive generator with word alignment for unsupervised text style transfer F Huang, Z Chen, CH Wu, Q Guo, X Zhu, M Huang arXiv preprint arXiv:2106.02210, 2021 | 20 | 2021 |
A semantic-based method for unsupervised commonsense question answering Y Niu, F Huang, J Liang, W Chen, X Zhu, M Huang arXiv preprint arXiv:2105.14781, 2021 | 16 | 2021 |
Chaining simultaneous thoughts for numerical reasoning Z Shao, F Huang, M Huang arXiv preprint arXiv:2211.16482, 2022 | 13 | 2022 |
Speculative contrastive decoding H Yuan, K Lu, F Huang, Z Yuan, C Zhou arXiv preprint arXiv:2311.08981, 2023 | 9 | 2023 |
Bridging the gap between synthetic and natural questions via sentence decomposition for semantic parsing Y Niu, F Huang, W Liu, J Cui, B Wang, M Huang Transactions of the Association for Computational Linguistics 11, 367-383, 2023 | 7 | 2023 |
Directed acyclic transformer pre-training for high-quality non-autoregressive text generation F Huang, P Ke, M Huang Transactions of the Association for Computational Linguistics 11, 941-959, 2023 | 6 | 2023 |
A text GAN for language generation with non-autoregressive generator F Huang, J Guan, P Ke, Q Guo, X Zhu, M Huang | 4 | 2021 |
Cotk: An open-source toolkit for fast development and fair evaluation of text generation F Huang, D Wan, Z Shao, P Ke, J Guan, Y Niu, X Zhu, M Huang arXiv preprint arXiv:2002.00583, 2020 | 3 | 2020 |
Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation C Huang, F Huang, Z Zheng, OR Zaiane, H Zhou, L Mou Findings of the Association for Computational Linguistics: IJCNLP-AACL 2023 …, 2023 | 2 | 2023 |
Qwen2. 5-1M Technical Report A Yang, B Yu, C Li, D Liu, F Huang, H Huang, J Jiang, J Tu, J Zhang, ... arXiv preprint arXiv:2501.15383, 2025 | | 2025 |
Predicting Rewards Alongside Tokens: Non-disruptive Parameter Insertion for Efficient Inference Intervention in Large Language Model C Yuan, F Huang, R Peng, K Lu, B Yu, C Zhou, J Zhou arXiv preprint arXiv:2408.10764, 2024 | | 2024 |
Optimizing Non-Autoregressive Transformers with Contrastive Learning C An, J Feng, F Huang, X Qiu, L Kong arXiv preprint arXiv:2305.13667, 2023 | | 2023 |