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Benchmarking Arabic Dialects for Math Problems

Paper recorded by Signals 4 on 2026-10-20 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-20 on arXiv · recorded by Signals 4 on 2026-10-21

Category: cs.AI · 人工智能 · first seen 2026-10-21

Abstract

Mathematical reasoning remains underexplored for low-resource languages, including Dialectal Arabic. To bridge this gap, we introduce the DAR-MGSM (Dialectal Arabic Multilingual Grade School Math) Benchmark, the first manually curated benchmark for evaluating mathematical reasoning in Dialectal Arabic. DAR-MGSM consists of math word problems (MWPs) requiring multi-step reasoning and covers five ma

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#228 most recent of 960 cs.AI papers we have recorded · ↑ newer: Semantic Observability for Autonomous Systems Diagnostics · ↓ older: Value-Rich, Differently Organized: Measuring Value Expression and Orga

Cite this page: Benchmarking Arabic Dialects for Math Problems: the #228 most recent of 960 cs.AI papers we have recorded (as of 2026-10-20). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/benchmarking-arabic-dialects-for-math-problems.html
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