MAQIU adds a memorization module and recall mechanism to update query intent dynamically in chat-based image retrieval, cutting FLOPs by 86.4% versus ChatIR while improving results.
Improving language models by retrieving from trillions of tokens
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Tri-RAG turns external knowledge into Condition-Proof-Conclusion triplets and retrieves via the Condition anchor to improve efficiency and quality in LLM RAG.
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Memory-Augmented Query Intent Understanding for Efficient Chat-based Image Retrieval
MAQIU adds a memorization module and recall mechanism to update query intent dynamically in chat-based image retrieval, cutting FLOPs by 86.4% versus ChatIR while improving results.
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Transforming External Knowledge into Triplets for Enhanced Retrieval in RAG of LLMs
Tri-RAG turns external knowledge into Condition-Proof-Conclusion triplets and retrieves via the Condition anchor to improve efficiency and quality in LLM RAG.