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New benchmark improves retrieval for Arabic Islamic jurisprudence

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new method for evaluating retrieval systems specifically for Arabic Islamic jurisprudence (fiqh). This approach isolates retrieval performance from generation errors, allowing for a more precise assessment of how well systems can find relevant passages. The study introduces a test collection for Arabic fiqh and compares various retrieval strategies, with the best performing system achieving an MRR@5 of 0.524, which improved to 0.553 with fine-tuning. A key challenge identified is differentiating passages that contain the specific ruling from those that are merely topically similar. AI

IMPACT This research could lead to more accurate AI systems for understanding and querying specialized legal and religious texts.

RANK_REASON The item is an academic paper detailing a new benchmark and evaluation methodology for a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New benchmark improves retrieval for Arabic Islamic jurisprudence

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The item is an academic paper detailing a new benchmark and evaluation methodology for a specific domain. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Mohammed Ghaly ·

    What Makes a Good Fiqh Retriever? Answer Retrieval for Arabic Islamic Jurisprudence

    Retrieval-Augmented Generation is used for Islamic question answering, but most systems are evaluated end-to-end, making retrieval failures difficult to isolate from generation failures. We study answer-bearing retrieval for Arabic fiqh, where a passage is relevant only if it sta…

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