most citedImproving the Consistency in Cross-Lingual Cross-Modal Retrieval with 1-to-K Contrastive Learning

5 citations · 11 across the 5 of their papers we have counts for

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cs.CL2024★ 4 cited

When Text Embedding Meets Large Language Model: A Comprehensive Survey

Zhijie Nie, Zhangchi Feng, Mingxin Li +4

Text embedding has become a foundational technology in natural language processing (NLP) during the deep learning era, driving advancements across a wide array of downstream tasks.…

cs.CL2024

EasyRAG: Efficient Retrieval-Augmented Generation Framework for Automated Network Operations

Zhangchi Feng, Dongdong Kuang, Zhongyuan Wang +3

This paper presents EasyRAG, a simple, lightweight, and efficient retrieval-augmented generation framework for automated network operations. Our framework has three advantages. The…