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Gagan Bhatia

From RAG to Agentic RAG for Faithful Islamic Question Answering
2026 · Gagan Bhatia, Hamdy Mubarak, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 2
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Fanar-Sadiq: A Multi-Agent Architecture for Grounded Islamic QA
2026 · Ummar Abbas, Mourad Ouzzani, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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The One-Size-Fits-All Fallacy in AI Implementation - Why Hospitals and Primary Care Require Different Strategies: Commentary
2026 · Joana Jaya, Gagan Bhatia, et al. · Asia Pacific Journal of Health Management
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Reimagining Healthcare Delivery: A comparative analysis of traditional healthcare and AI-enabled smart hospitals
2026 · Vikineswaran A. Maniam, Gagan Bhatia, et al. · Asia Pacific Journal of Health Management
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ChronoLens: Measuring Language Change Across Time, Languages, and Linguistic Levels
2026 · Bhatia, Gagan, Schlenker, Julian, et al. · arXiv (Cornell University)
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From RAG to Agentic RAG for Faithful Islamic Question Answering
2026 · Association for Computational Linguistics 2026, Alam, Firoj, et al. · Underline Science Inc.
A Multi-Agent Architecture for Grounded Islamic QA
2026 · Association for Computational Linguistics 2026, Abbas, Ummar, et al. · Underline Science Inc.
Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025
2026 · Maria Kunilovskaya, Gagan Bhatia, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Works count: 8
Citation count: 3
H-index: 1
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