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Posts by Collection
portfolio
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publications
FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
Published in Advances in Neural Information Processing Systems 37, 2024
Recommended citation: 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.
Leveraging Unstructured Text Data for Federated Instruction Tuning of Large Language Models
Published in International Workshop on Trustworthy Federated Learning, 2024
Recommended citation: 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.
MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems
Published in arXiv preprint arXiv:2503.03686, 2025
Recommended citation: 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.
Scaling Speculative Decoding with Lookahead Reasoning
Published in arXiv preprint arXiv:2506.19830, 2025
Recommended citation: Y Fu, R Ge, Z Shao, Z Deng, H Zhang. (2025). "Scaling Speculative Decoding with Lookahead Reasoning." arXiv preprint arXiv:2506.19830.
talks
Talk 1 on Relevant Topic in Your Field
Published:
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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