| 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, ... ACL 2024, 2024 | 16 | 2024 |
| Question decomposition tree for answering complex questions over knowledge bases X Huang, S Cheng, Y Shu, Y Bao, Y Qu Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 12924 …, 2023 | 12 | 2023 |
| MarkQA: A large scale KBQA dataset with numerical reasoning X Huang, S Cheng, Y Bao, S Huang, Y Qu EMNLP 2023, 2023 | 6 | 2023 |
| QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction X Huang, S Cheng, S Huang, J Shen, Y Xu, C Zhang, Y Qu ACL 2024, 2024 | 5 | 2024 |
| Disentangling memory and reasoning ability in large language models M Jin, W Luo, S Cheng, X Wang, W Hua, R Tang, WY Wang, Y Zhang arXiv preprint arXiv:2411.13504, 2024 | 4 | 2024 |
| Rulearena: A benchmark for rule-guided reasoning with llms in real-world scenarios R Zhou, W Hua, L Pan, S Cheng, X Wu, E Yu, WY Wang arXiv preprint arXiv:2412.08972, 2024 | 3 | 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, ... EMNLP 2024, 2024 | 3 | 2024 |
| Understanding the interplay between parametric and contextual knowledge for large language models S Cheng, L Pan, X Yin, X Wang, WY Wang arXiv preprint arXiv:2410.08414, 2024 | 2 | 2024 |
| Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation K An, F Yang, L Li, J Lu, S Cheng, S Si, L Wang, P Zhao, L Cao, Q Lin, ... arXiv preprint arXiv:2406.13372, 2024 | 1 | 2024 |
| TARGA: Targeted Synthetic Data Generation for Practical Reasoning over Structured Data X Huang, J Shen, S Huang, S Cheng, X Wang, Y Qu arXiv preprint arXiv:2412.19544, 2024 | | 2024 |
Fangkai YangMicrosoft Research Lab - Asiaยืนยันอีเมลแล้วที่ microsoft.com