747 citations · 751 across the 6 of their papers we have counts for
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cs.SE2024
Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation
Xinyu Gao, Yun Xiong, Deze Wang +4
Retrieval-augmented code generation utilizes Large Language Models as the generator and significantly expands their code generation capabilities by providing relevant code, documen…
cs.CL2024
Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable Frameworks
Yunfan Gao, Yun Xiong, Meng Wang +1
Retrieval-augmented Generation (RAG) has markedly enhanced the capabilities of Large Language Models (LLMs) in tackling knowledge-intensive tasks. The increasing demands of applica…