| Validating deep neural networks for online decoding of motor imagery movements from EEG signals Z Tayeb, J Fedjaev, N Ghaboosi, C Richter, L Everding, X Qu, Y Wu, ... Sensors 19 (1), 210, 2019 | 200 | 2019 |
| Mammoth: Building math generalist models through hybrid instruction tuning X Yue, X Qu, G Zhang, Y Fu, W Huang, H Sun, Y Su, W Chen ICLR2024, 2023 | 110 | 2023 |
| Chinese tiny llm: Pretraining a chinese-centric large language model X Du, Z Yu, S Gao, D Pan, Y Cheng, Z Ma, R Yuan, X Qu, J Liu, T Zheng, ... arXiv preprint arXiv:2404.04167, 2024 | 5 | 2024 |
| Map-neo: Highly capable and transparent bilingual large language model series G Zhang, S Qu, J Liu, C Zhang, C Lin, CL Yu, D Pan, E Cheng, J Liu, ... arXiv preprint arXiv:2405.19327, 2024 | 3 | 2024 |
| Three dimensional trajectory planning of unmanned aerial vehicles based on quantum differential search X Qu, H Duan Proceedings of the 33rd Chinese Control Conference, 142-146, 2014 | 3 | 2014 |
| Mupt: A generative symbolic music pretrained transformer X Qu, Y Bai, Y Ma, Z Zhou, KM Lo, J Liu, R Yuan, L Min, X Liu, T Zhang, ... arXiv preprint arXiv:2404.06393, 2024 | 2 | 2024 |
| CodeEditorBench: Evaluating Code Editing Capability of Large Language Models J Guo, Z Li, X Liu, K Ma, T Zheng, Z Yu, D Pan, Y Li, R Liu, Y Wang, S Guo, ... arXiv preprint arXiv:2404.03543, 2024 | 1 | 2024 |
| CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models Y Li, G Zhang, X Qu, J Li, Z Li, Z Wang, H Li, R Yuan, Y Ma, K Zhang, ... ACL2024 findings, 2024 | 1 | 2024 |
| CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark G Zhang, X Du, B Chen, Y Liang, T Luo, T Zheng, K Zhu, Y Cheng, C Xu, ... arXiv preprint arXiv:2401.11944, 2024 | 1 | 2024 |
| Kun: Answer polishment for chinese self-alignment with instruction back-translation T Zheng, S Guo, X Qu, J Guo, W Zhang, X Du, C Lin, W Huang, W Chen, ... arXiv preprint arXiv:2401.06477, 2024 | 1 | 2024 |
| D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models H Que, J Liu, G Zhang, C Zhang, X Qu, Y Ma, F Duan, Z Bai, J Wang, ... arXiv preprint arXiv:2406.01375, 2024 | | 2024 |
| The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis C Yang, J Li, X Niu, X Du, S Gao, H Zhang, Z Chen, X Qu, R Yuan, Y Li, ... arXiv preprint arXiv:2404.01204, 2024 | | 2024 |
| DEEP-ICL: Definition-Enriched Experts for Language Model In-Context Learning X Qu, Y Liang, Y Wang, T Zheng, T Yue, L Ma, SW Huang, J Zhang, ... arXiv preprint arXiv:2403.04233, 2024 | | 2024 |
| CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation Y Shao, X Yao, X Qu, C Lin, S Wang, SW Huang, G Zhang, J Fu arXiv preprint arXiv:2402.13145, 2024 | | 2024 |
| MORE-3S: Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces T Zheng, G Zhang, X Qu, M Kuang, SW Huang, Z He arXiv preprint arXiv:2402.12845, 2024 | | 2024 |
| Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators J Chen, Y Wang, X Qu, S Zheng, Y Yang, H Dong, J Fu arXiv preprint arXiv:2308.15116, 2023 | | 2023 |
| PilotAttnNet: Multi-modal Attention Network for End-to-End Steering Control J Zhang, Z Song, J Lu, X Qu, Z Fan Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 179-191, 2022 | | 2022 |
Ge ZhangUniversity of Waterloo在 stardust.ai 的电子邮件经过验证
