3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2025
HyperRAG: Enhancing Quality-Efficiency Tradeoffs in Retrieval-Augmented Generation with Reranker KV-Cache Reuse
Yuwei An, Yihua Cheng, Seo Jin Park +1
Retrieval-Augmented Generation (RAG) has emerged as a powerful paradigm for enhancing the performance of large language models (LLMs) by integrating external knowledge into the gen…
cs.DC2023★ 1 cited
Lovelock: Towards Smart NIC-hosted Clusters
Seo Jin Park, Ramesh Govindan, Kai Shen +4
Traditional cluster designs were originally server-centric, and have evolved recently to support hardware acceleration and storage disaggregation. In applications that leverage acc…
cs.DC2021★ 3 cited
Efficient Strong Scaling Through Burst Parallel Training
Seo Jin Park, Joshua Fried, Sunghyun Kim +2
As emerging deep neural network (DNN) models continue to grow in size, using large GPU clusters to train DNNs is becoming an essential requirement to achieving acceptable training…