6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.AI2024★ 6 cited
KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion
Yilin Wang, Minghao Hu, Zhen Huang +3
The goal of knowledge graph completion (KGC) is to predict missing facts among entities. Previous methods for KGC re-ranking are mostly built on non-generative language models to o…
cs.LG2023★ 1 cited
PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight Prediction
Lei Guan, Dongsheng Li, Yongle Chen +3
Asynchronous pipeline model parallelism with a "1F1B" (one forward, one backward) schedule generates little bubble overhead and always provides quite a high throughput. However, th…