2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.CL2024
ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation
Fillipe dos Santos Silva, Gabriel Kenzo Kakimoto, Julio Cesar dos Reis +1
Cluster analysis plays a crucial role in various domains and applications, such as customer segmentation in marketing. These contexts often involve multimodal data, including both…
cs.AI2024★ 2 cited
AgentInstruct: Toward Generative Teaching with Agentic Flows
Arindam Mitra, Luciano Del Corro, Guoqing Zheng +11
Synthetic data is becoming increasingly important for accelerating the development of language models, both large and small. Despite several successful use cases, researchers also…