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Muslim: A Deployed Arabic Voice AI Platform for Grounded Islamic Knowledge

Paper recorded by Signals 4 on 2026-09-25 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-25 on arXiv · recorded by Signals 4 on 2026-09-28

Category: cs.CL · 自然语言处理 · first seen 2026-09-28

Abstract

We present Muslim, a production Arabic voice AI platform serving grounded, sourced Islamic knowledge to real users. Beyond a real-time voice pipeline (NeMo Arabic ASR, an OpenAI-compatible LLM endpoint, self-hosted TTS) and a deterministic multi-source retrieval layer routed across six Model Context Protocol servers, we report three things a research prototype typically lacks. First, a released fa

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#5 most recent of 267 cs.CL papers we have recorded · ↑ newer: Statistical Foundations for a Google Play User-Review Sentiment Index: · ↓ older: ViSTA: A Simple Bridge Extends Visual Alignment to Clinical Time-Serie
Cite this page: Muslim: A Deployed Arabic Voice AI Platform for Grounded Islamic Knowledge: the #5 most recent of 267 cs.CL papers we have recorded (as of 2026-09-25). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/muslim-a-deployed-arabic-voice-ai-platform-for-grounded-islamic-knowledge.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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