1 citations · 1 across the 5 of their papers we have counts for
6 papers
MEMORA: A Memory-Enhanced Multimodal Committee Reranking Agent for Reasoning-Intensive Retrieval
Mohamed Mahmoud, Mostafa Farouk Senussi, Mahmoud Abdalla +3
Reasoning-intensive retrieval is fundamentally challenged when queries demand deep semantic inference and arrive in multimodal form. Existing systems treat each query in isolation,…
HIVE: Query, Hypothesize, Verify An LLM Framework for Multimodal Reasoning-Intensive Retrieval
Mahmoud Abdalla, Mahmoud SalahEldin Kasem, Mohamed Mahmoud +3
Multimodal retrieval models fail on reasoning-intensive queries where images (diagrams, charts, screenshots) must be deeply integrated with text to identify relevant documents -- t…
BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment
Mohamed Darwish Mounis, Mohamed Mahmoud, Shaimaa Sedek +4
Multimodal retrieval systems struggle to resolve image-text queries against text-only corpora: the best vision-language encoder achieves only 27.6 nDCG@10 on MM-BRIGHT, underperfor…
MARVEL: Multimodal Adaptive Reasoning-intensiVe Expand-rerank and retrievaL
Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Mostafa Farouk Senussi +3
Multimodal retrieval over text corpora remains a fundamental challenge: the best vision-language encoder achieves only 27.6 nDCG@10 on MM-BRIGHT, a reasoning-intensive multimodal r…
ReceiptSense: Beyond Traditional OCR -- A Dataset for Receipt Understanding
Abdelrahman Abdallah, Mohamed Mounis, Mahmoud Abdalla +6
Multilingual OCR and information extraction from receipts remains challenging, particularly for complex scripts like Arabic. We introduce \dataset, a comprehensive dataset designed…
ArabicaQA: A Comprehensive Dataset for Arabic Question Answering
Abdelrahman Abdallah, Mahmoud Kasem, Mahmoud Abdalla +4
In this paper, we address the significant gap in Arabic natural language processing (NLP) resources by introducing ArabicaQA, the first large-scale dataset for machine reading comp…