arXiv (All)
open access
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 states the ruling requi
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Exploration of Intrinsic Relevance Judgments by Legal Professionals in Information Retrieval Systems#279135
- Preserving Privacy in Arabic Judgments: AI-Powered Anonymization for Enhanced Legal Data Privacy#679243
- WARP: Wasserstein-Aligned RAG for Population Opinions#1062989
- Replication Data for ACL 2026 paper: "JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew"#68433
- PILLAR: Private Inverted-Index Lexical Lookup for Augmented Retrieval#1131168
Record · ID 1536226
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive