Papers by Mounir Ghogho
MizanQA: A Benchmark for Multi-Answer Moroccan Legal QA (2026.eacl-industry)
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| Challenge: | Using a benchmark, large language models can be evaluated on Moroccan legal MCQs . despite their ability to comprehend and process Arabic, the language is still a challenge . |
| Approach: | They propose a benchmark for assessing LLMs on Moroccan legal MCQs . they use Arabic-based questions enriched with Moroccan idioms to assess their accuracy . |
| Outcome: | The proposed benchmark covers 1,776 expert-verified questions in Arabic enriched with Moroccan idioms . it measures accuracy, precision-penalized F1-like score, and calibration errors . |
Candidate-Aware Retrieval and Reranking for Multiple-Choice Question Answering: Arabic as a Case Study (2026.findings-acl)
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| Challenge: | Large language models (LLMs) have recently achieved impressive results on multiple-choice question answering (MCQA) despite advances in English, LLMs continue to underperform in Arabic due to gaps in data coverage, linguistic transfer, and evaluation design. |
| Approach: | They propose a method that jointly models the relevance of both the question and its candidate answers when selecting contextual passages. |
| Outcome: | The proposed approach outperforms standard RAG baselines and reranker baselines while remaining competitive with considerably larger models. |