45 citations · 57 across the 4 of their papers we have counts for
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cs.LG2024★ 45 cited
HybridFlow: A Flexible and Efficient RLHF Framework
Guangming Sheng, Chi Zhang, Zilingfeng Ye +6
Reinforcement Learning from Human Feedback (RLHF) is widely used in Large Language Model (LLM) alignment. Traditional RL can be modeled as a dataflow, where each node represents co…
cs.LG2024★ 12 cited
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
Guangming Sheng, Junwei Su, Chao Huang +1
Memory-based Temporal Graph Neural Networks (MTGNNs) are a class of temporal graph neural networks that utilize a node memory module to capture and retain long-term temporal depend…