3 papers
cs.CL2026
MOSAIC: Masked Objective with Selective Adaptation for In-domain Contrastive Learning
Vera Pavlova, Mohammed Makhlouf
We introduce MOSAIC (Masked Objective with Selective Adaptation for In-domain Contrastive learning), a multi-stage framework for domain adaptation of text embedding models that inc…
cs.IR2025
Efficient and Versatile Model for Multilingual Information Retrieval of Islamic Text: Development and Deployment in Real-World Scenarios
Vera Pavlova, Mohammed Makhlouf
Despite recent advancements in Multilingual Information Retrieval (MLIR), a significant gap remains between research and practical deployment. Many studies assess MLIR performance…
cs.CL2025
Multi-stage Training of Bilingual Islamic LLM for Neural Passage Retrieval
Vera Pavlova
This study examines the use of Natural Language Processing (NLP) technology within the Islamic domain, focusing on developing an Islamic neural retrieval model. By leveraging the r…