| 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 | 1912 | 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 | 860 | 2024 |
| Multi-Agent Reinforcement Learning is a Sequence Modeling Problem M Wen, JG Kuba, R Lin, W Zhang, Y Wen, J Wang, Y Yang NeurIPS 2022, 2022 | 198 | 2022 |
| # 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, 2023 | 75 | 2023 |
| 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 NAACL, 2023 | 50 | 2023 |
| Qwen2. 5-math technical report: Toward mathematical expert model via self-improvement A Yang, B Zhang, B Hui, B Gao, B Yu, C Li, D Liu, J Tu, J Zhou, J Lin, K Lu, ... arXiv preprint arXiv:2409.12122, 2024 | 44 | 2024 |
| Large language models play starcraft ii: Benchmarks and a chain of summarization approach W Ma, Q Mi, X Yan, Y Wu, R Lin, H Zhang, J Wang NeurIPS 2024, 2023 | 36 | 2023 |
| Large Sequence Models for Sequential Decision-Making: A Survey M WEN, R LIN, H WANG, Y YANG, Y WEN, L MAI, J WANG, H ZHANG, ... Frontiers of Computer Science, 2023 | 33 | 2023 |
| Online merging optimizers for boosting rewards and mitigating tax in alignment K Lu, B Yu, F Huang, Y Fan, R Lin, C Zhou arXiv preprint arXiv:2405.17931, 2024 | 16 | 2024 |
| Contextual Transformer for Offline Meta Reinforcement Learning R Lin, Y Li, X Feng, Z Zhang, XHW Fung, H Zhang, J Wang, Y Du, Y Yang NeurIPS 2022 Workshop: Foundation Models for Decision Making, 2022 | 11 | 2022 |
| Learn to flap: foil non-parametric path planning via deep reinforcement learning ZP Wang, RJ Lin, ZY Zhao, X Chen, PM Guo, N Yang, ZC Wang, DX Fan Journal of Fluid Mechanics 984, A9, 2024 | 10 | 2024 |
| Scalable Model-based Policy Optimization for Decentralized Networked Systems Y Du, C Ma, Y Liu, R Lin, H Dong, J Wang, Y Yang IROS 2022, 2022 | 8* | 2022 |
| Processbench: Identifying process errors in mathematical reasoning C Zheng, Z Zhang, B Zhang, R Lin, K Lu, B Yu, D Liu, J Zhou, J Lin arXiv preprint arXiv:2412.06559, 2024 | 6 | 2024 |
| Llm critics help catch bugs in mathematics: Towards a better mathematical verifier with natural language feedback B Gao, Z Cai, R Xu, P Wang, C Zheng, R Lin, K Lu, J Lin, C Zhou, W Xiao, ... arXiv preprint arXiv:2406.14024, 2024 | 5 | 2024 |
| The Lessons of Developing Process Reward Models in Mathematical Reasoning Z Zhang, C Zheng, Y Wu, B Zhang, R Lin, B Yu, D Liu, J Zhou, J Lin arXiv preprint arXiv:2501.07301, 2025 | 1 | 2025 |
| Increasing the Data Rate for Reflected Optical Camera Communication Using Uniform LED Light Z Chen, R Lin, H Duan, Y Chen, Y Yang, R Wu, L Chen IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops …, 2020 | 1 | 2020 |
| Online Decision MetaMorphFormer: A Casual Transformer-Based Reinforcement Learning Framework of Universal Embodied Intelligence L Ji, R Lin arXiv preprint arXiv:2409.07341, 2024 | | 2024 |
| Learning Robust Communication by Adversarial Training in Networked System Control R Lin, H Zhang Chinese Conference on Swarm Intelligence and Cooperative Control, 605-619, 2023 | | 2023 |
Yaodong YangBOYA (博雅) Assistant Professor at Peking University在 pku.edu.cn 的电子邮件经过验证