Runji Lin
Email: linrunji2021 [at] ia.ac.cn
Fields of Interest: Reinforcement Learning, Multi-Agent System, Large Language Models
Short Bio
Runji Lin is currently pursuing his MSc degree at the School of Artificial Intelligence, University of Chinese Academy of Sciences, China. His research interests include reinforcement learning, multi-agent system, and Large Language Models. He participated in the development of the Qwen series of large language models, mainly involving in the RLHF alignment of LLM, as well as the development of integrating large models as agents with external systems.
Experience
Research Intern at Alibaba Qwen Team
2022.11 - Present
Algorithm Engineer Intern at NetEase
2020.07 - 2020.08
Publications
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 arXiv preprint
arXiv:2312.11865, 2023 - View Paper
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
arXiv preprint - arXiv:2311.08692, 2023 - View Paper
# 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
ICLR 2023 - View Paper
Qwen technical report
J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, R Lin...
arXiv preprint - arXiv:2309.16609, 2023 - View Paper
Learn to Flap: Foil Non-parametric Path Planning via Deep Reinforcement Learning
ZP Wang*, RJ Lin*, ZY Zhao, PM Guo, N Yang, DX Fan
Journal of Fluid Mechanics, 2023 - View Paper
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 - View Paper
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 - View Paper
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 - View Paper
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 - View Paper
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 - View Paper