| Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments S Cheng, Z Zhuang, Y Xu, F Yang, C Zhang, X Qin, X Huang, L Chen, ... 2024.findings-acl.254, 4275, 2024 | 16 | 2024 |
| Points: Improving your vision-language model with affordable strategies Y Liu, Z Zhao, Z Zhuang, L Tian, X Zhou, J Zhou arXiv preprint arXiv:2409.04828, 2024 | 8 | 2024 |
| EfficientRAG: Efficient Retriever for Multi-Hop Question Answering Z Zhuang, Z Zhang, S Cheng, F Yang, J Liu, S Huang, Q Lin, S Rajmohan, ... arXiv preprint arXiv:2408.04259, 2024 | 3 | 2024 |
| Enforcing Paraphrase Generation via Controllable Latent Diffusion W Zou, Z Zhuang, S Huang, J Liu, J Chen arXiv e-prints, arXiv: 2404.08938, 2024 | | 2024 |
Fangkai YangMicrosoft Research Lab - AsiaПотвърден имейл адрес: microsoft.com