Weakly-supervised visual-retriever-reader for knowledge-based question answering

This survey concentrates on few-shots In-Context Learning (ICL) using retrieved examples for large language models, a key aspect of Retrieval-Augmented Generation (RAG).

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Man Luo, Yankai Zeng, Pratyay Banerjee, Chitta Baral (2025). Dataset: Weakly-supervised visual-retriever-reader for knowledge-based question answering. https://doi.org/10.57702/cci9loqc

DOI retrieved: January 2, 2025

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Created January 2, 2025
Last update January 2, 2025
Defined In https://doi.org/10.48550/arXiv.2401.11624
Author Man Luo
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Yankai Zeng
Pratyay Banerjee
Chitta Baral