LocuPrompt at SemEval-2026 Task 7: A Multilingual Prompting Framework for Cross-Cultural Everyday Knowledge in LLMs
Year: 2026
Type: conference-paper
Abstract: Understanding everyday cultural knowledge remains a fundamental challenge for large language models (LLMs).This paper presents LOCUPROMPT, a multilingual framework for SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures.To address Short Answer Questions (SAQ), we employ an English-pivot generation strategy with back-translation, combined with empirical locale-specific routing that dynamically assigns the optimal LLM to each target region.For Multiple-Choice Questions (MCQ), we apply parameter-efficient fine-tuning to a robust multilingual base model, utilizing localeaware instructions that frame the LLM as a "local resident."By integrating strategic model selection with resource-efficient adaptation, LOCUPROMPT effectively bridges crosslingual cultural gaps while maintaining a fully reproducible pipeline.
Author: Ningjingke Ning
Institution: Yunnan University
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7166816060