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cs.CL2026
DynaRAG: Bridging Static and Dynamic Knowledge in Retrieval-Augmented Generation
Penghao Liang, Mengwei Yuan, Jianan Liu +4
We present DynaRAG, a retrieval-augmented generation (RAG) framework designed to handle both static and time-sensitive information needs through dynamic knowledge integration. Unli…
cs.CL2024★ 6 cited
Research on the Application of Deep Learning-based BERT Model in Sentiment Analysis
Yichao Wu, Zhengyu Jin, Chenxi Shi +2
This paper explores the application of deep learning techniques, particularly focusing on BERT models, in sentiment analysis. It begins by introducing the fundamental concept of se…