Qwen technical report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... Technical Report, 2023 | 1060 | 2023 |
RRHF: Rank responses to align language models with human feedback H Yuan, Z Yuan, C Tan, W Wang, S Huang, F Huang Advances in Neural Information Processing Systems 36, 2024 | 238* | 2024 |
Scaling relationship on learning mathematical reasoning with large language models Z Yuan, H Yuan, C Li, G Dong, K Lu, C Tan, C Zhou arXiv preprint arXiv:2308.01825, 2023 | 121 | 2023 |
Biobart: pretraining and evaluation of a biomedical generative language model H Yuan, Z Yuan, R Gan, J Zhang, Y Xie, S Yu Proceedings of the 21st Workshop on Biomedical Language Processing, 2022 | 103 | 2022 |
How well do large language models perform in arithmetic tasks? Z Yuan, H Yuan, C Tan, W Wang, S Huang arXiv preprint arXiv:2304.02015, 2023 | 77 | 2023 |
How abilities in large language models are affected by supervised fine-tuning data composition G Dong, H Yuan, K Lu, C Li, M Xue, D Liu, W Wang, Z Yuan, C Zhou, ... The 62nd Annual Meeting of the Association for Computational Linguistics, 2023 | 62 | 2023 |
Text Diffusion Model with Encoder-Decoder Transformers for Sequence-to-Sequence Generation H Yuan, Z Yuan, C Tan, F Huang, S Huang Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 53* | 2024 |
# InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models K Lu, H Yuan, Z Yuan, R Lin, J Lin, C Tan, C Zhou, J Zhou The Twelfth International Conference on Learning Representations, 2024 | 45 | 2024 |
Generative biomedical entity linking via knowledge base-guided pre-training and synonyms-aware fine-tuning H Yuan, Z Yuan, S Yu Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 42 | 2022 |
Routing to the expert: Efficient reward-guided ensemble of large language models K Lu, H Yuan, R Lin, J Lin, Z Yuan, C Zhou, J Zhou 2024 Annual Conference of the North American Chapter of the Association for …, 2023 | 23 | 2023 |
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models H Yuan, S Zhou, S Yu Transactions on Machine Learning Research, 2023 | 15 | 2023 |
RAMM: Retrieval-augmented Biomedical Visual Question Answering with Multi-modal Pre-training Z Yuan, Q Jin, C Tan, Z Zhao, H Yuan, F Huang, S Huang The 31st ACM International Conference on Multimedia, 2023 | 15 | 2023 |
Bios: An algorithmically generated biomedical knowledge graph S Yu, Z Yuan, J Xia, S Luo, H Ying, S Zeng, J Ren, H Yuan, Z Zhao, Y Lin, ... Technical Report, 2022 | 15 | 2022 |
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning C Li, Z Yuan, H Yuan, G Dong, K Lu, J Wu, C Tan, X Wang, C Zhou Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 14* | 2024 |
Efficient symptom inquiring and diagnosis via adaptive alignment of reinforcement learning and classification H Yuan, S Yu Artificial Intelligence in Medicine, 102748, 2024 | 13 | 2024 |
HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation H Yuan, Z Yuan, C Tan, F Huang, S Huang Proceedings of the 61th Annual Meeting of the Association for Computational …, 2022 | 11 | 2022 |
Speculative contrastive decoding H Yuan, K Lu, F Huang, Z Yuan, C Zhou The 62nd Annual Meeting of the Association for Computational Linguistics, 2023 | 7 | 2023 |
Exploring Partial Knowledge Base Inference in Biomedical Entity Linking H Yuan, K Lu, Z Yuan Proceedings of the 22nd Workshop on Biomedical Language Processing, 2023 | 4 | 2023 |
Black-Box Segmentation of Electronic Medical Records H Yuan, S Yu Technical Report, 2024 | | 2024 |
Revisiting Automatic Question Summarization Evaluation in the Biomedical Domain H Yuan, Y Zhang, F Huang, S Huang Technical Report, 2023 | | 2023 |