most citedClustering Algorithms and RAG Enhancing Semi-Supervised Text Classification with Large LLMs

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2025

Step-3 is Large yet Affordable: Model-system Co-design for Cost-effective Decoding

StepFun, :, Bin Wang +195

Large language models (LLMs) face low hardware efficiency during decoding, especially for long-context reasoning tasks. This paper introduces Step-3, a 321B-parameter VLM with hard…

cs.CL2024★ 1 cited

Clustering Algorithms and RAG Enhancing Semi-Supervised Text Classification with Large LLMs

Shan Zhong, Jiahao Zeng, Yongxin Yu +1

This paper proposes a Clustering, Labeling, then Augmenting framework that significantly enhances performance in Semi-Supervised Text Classification (SSTC) tasks, effectively addre…