Meriem Beloucif
Associate senior lecturer/Assistant Professor in Computational Linguistics at Department of Linguistics and Philology
- Telephone:
- +46 18 471 14 17
- E-mail:
- meriem.beloucif@lingfil.uu.se
- Visiting address:
- Engelska parken
Thunbergsvägen 3H - Postal address:
- Box 635
751 26 UPPSALA
Download contact information for Meriem Beloucif at Department of Linguistics and Philology
Short presentation
I am a Docent and an Associate Senior Lecturer in Computational Linguistics at the Department of Linguistics and Philology at Uppsala University. My current research focuses on Large Language Models for Low-Resource Languages. I focus on tasks such as neural machine translation and lexical semantics in LLMs. Before, I worked on comparative QA at Hamburg University and spent a year at Copenhagen University. I have a PhD in Computer Science from Hong Kong University of Science and Technology.
Keywords
- semantics
- natural language processing
- machine learning
- machine translation
- low-resource languages

Publications
Recent publications
Part of Findings of the Association for Computational Linguistics, p. 17446-17461, 2025
- DOI for Visualising Policy-Reward Interplay to Inform Zeroth-Order Preference Optimisation of Large Language Models
- Download full text (pdf) of Visualising Policy-Reward Interplay to Inform Zeroth-Order Preference Optimisation of Large Language Models
Beyond Ethical Alignment: Evaluating LLMs as Artificial Moral Assistants
Part of Frontiers in Artificial Intelligence and Applications, p. 1213-1220, 2025
- DOI for Beyond Ethical Alignment: Evaluating LLMs as Artificial Moral Assistants
- Download full text (pdf) of Beyond Ethical Alignment: Evaluating LLMs as Artificial Moral Assistants
SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages
Part of FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, p. 2512-2530, 2024
SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages
Part of Proceedings of the 18th International Workshop on Semantic Evaluation, SemEval-2024, p. 1963-1978, 2024
AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
Part of Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, p. 13968-13981, 2023
- DOI for AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
- Download full text (pdf) of AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
All publications
Articles in journal
Beyond Ethical Alignment: Evaluating LLMs as Artificial Moral Assistants
Part of Frontiers in Artificial Intelligence and Applications, p. 1213-1220, 2025
- DOI for Beyond Ethical Alignment: Evaluating LLMs as Artificial Moral Assistants
- Download full text (pdf) of Beyond Ethical Alignment: Evaluating LLMs as Artificial Moral Assistants
Conference papers
Part of Findings of the Association for Computational Linguistics, p. 17446-17461, 2025
- DOI for Visualising Policy-Reward Interplay to Inform Zeroth-Order Preference Optimisation of Large Language Models
- Download full text (pdf) of Visualising Policy-Reward Interplay to Inform Zeroth-Order Preference Optimisation of Large Language Models
SemRel2024: A Collection of Semantic Textual Relatedness Datasets for 13 Languages
Part of FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, p. 2512-2530, 2024
SemEval-2024 Task 1: Semantic Textual Relatedness for African and Asian Languages
Part of Proceedings of the 18th International Workshop on Semantic Evaluation, SemEval-2024, p. 1963-1978, 2024
AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
Part of Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, p. 13968-13981, 2023
- DOI for AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
- Download full text (pdf) of AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages
BERTie Bott's Every Flavor Labels: A Tasty Introduction to Semantic Role Labeling for Galician
Part of Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, p. 10892-10902, 2023
- DOI for BERTie Bott's Every Flavor Labels: A Tasty Introduction to Semantic Role Labeling for Galician
- Download full text (pdf) of BERTie Bott's Every Flavor Labels: A Tasty Introduction to Semantic Role Labeling for Galician
Improving Translation Quality for Low-Resource Inuktitut with Various Preprocessing Techniques
Part of Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, p. 475-479, 2023
Using Wikidata for Enhancing Compositionality in Pre-trained Language Models
Part of Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, p. 170-178, 2023
SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)
Part of Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), p. 2319-2337, 2023
- DOI for SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)
- Download full text (pdf) of SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)
Part of Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), p. 1491-1497, 2023
- DOI for Uppsala University at SemEval-2023 Task12: Zero-shot Sentiment Classification for Nigerian Pidgin Tweets
- Download full text (pdf) of Uppsala University at SemEval-2023 Task12: Zero-shot Sentiment Classification for Nigerian Pidgin Tweets
Overview of Touché 2022: Argument Retrieval
Part of Experimental IR Meets Multilinguality, Multimodality, and Interaction (CLEF 2022), p. 311-336, 2022
Part of LREC 2022, p. 3771-3779, 2022
Probing Pre-trained Language Models for Semantic Attributes and their Values
Part of Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021, p. 2554-2559, 2021
- DOI for Probing Pre-trained Language Models for Semantic Attributes and their Values
- Download full text (pdf) of Probing Pre-trained Language Models for Semantic Attributes and their Values