SOURCE-LINKED INTELLIGENCE
To What Extent Do Large Language Models Understand Bangla Idioms?
Idiomatic expressions are an integral part of natural language, reflecting cultural nuances and posing unique challenges for computational models, particularly in low-resource languages. In this paper, we present the first large-scale benchmark dataset of Bangla idioms, complemented by a synthetic multiple-choice question (MCQ) dataset for idiom meaning identification. We conduct a comprehensive evaluation of recent large language models (LLMs) across three idiom-related tasks: paraphrasing, idiom span detection, and meaning identification, leveraging zero-shot and few-shot prompting strategie
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T06:15:15.000Z
First collected: 2026-09-21T05:11:56.580Z. This is not the publication date.