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20182026
most citedFinancial Time Series Forecasting using CNN and Transformer

27 citations · 34 across the 13 of their papers we have counts for

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cs.CL2026

MM-BizRAG: Rethinking Multimodal Retrieval-Augmented Generation for General Purpose Enterprise Q&A

Hanoz Bhathena, Parin Rajesh Jhaveri, Rohan Mittal +7

Recent advances in multimodal retrieval-augmented generation (MM-RAG) have shifted toward minimal parsing, relying on page-level images for producing retriever embeddings and for a…