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cs.IR2026
ADEPT: An Entropy-Driven Dual-Strategy Agent for Interactive Video Retrieval
Ke Chen, Shengyuan Han, Yongfeng Huang +4
This research aims to solve the challenge of video retrieval from massive datasets, caused by ambiguous user queries. Prevailing single-round retrieval paradigms face a performance…
cs.IR2025
HeteRAG: A Heterogeneous Retrieval-augmented Generation Framework with Decoupled Knowledge Representations
Peiru Yang, Xintian Li, Zhiyang Hu +8
Retrieval-augmented generation (RAG) methods can enhance the performance of LLMs by incorporating retrieved knowledge chunks into the generation process. In general, the retrieval…