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Integrating UniIR and Generative Retrieval by humaaman380 is a document available to read on EtoBox.

The document discusses two papers on multimodal retrieval: Paper 1 presents a universal retriever (UniIR) for multimodal information retrieval tasks, focusing on instruction tuning and large-scale benchmarks, while Paper 2 explores a generative approach using large language models (LLMs) to generate knowledge clues. Both approaches emphasize cross-modal alignment and face challenges such as training overhead and reliance on LLM knowledge. Future directions include improving efficiency and expanding modaliti

Author
humaaman380
Language
EN