Scaling Speculative Decoding with Lookahead Reasoning
Y Fu, R Ge, Z Shao, Z Deng, H Zhang. (2025). "Scaling Speculative Decoding with Lookahead Reasoning." arXiv preprint arXiv:2506.19830.
CV
Education
- B.S. in Shanghai Jiao Tong University(SJTU), 2022 - Present
Intern
- University of California, San Diego, 2025.1 - Present, advised by Hao Zhang.
Publications
MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
R Ye, S Tang, R Ge, Y Du, Z Yin, S Chen, J Shao. (2025). "MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems." arXiv preprint arXiv:2503.03686.
Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models
R Ye, R Ge, F Yuchi, J Chai, Y Wang, S Chen. (2024). "Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models." International Workshop on Trustworthy Federated Learning. 119-131.
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
R Ye, R Ge, X Zhu, J Chai, D Yaxin, Y Liu, Y Wang, S Chen. (2024). "FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models." Advances in Neural Information Processing Systems 37. 111106-111130.