6 papers · 1 filter
AraReasoner: Evaluating Reasoning-Based LLMs for Arabic NLP
Ahmed Hasanaath, Aisha Alansari, Ahmed Ashraf +3
Large language models (LLMs) have shown remarkable progress in reasoning abilities and general natural language processing (NLP) tasks, yet their performance on Arabic data, charac…
AHaSIS: Shared Task on Sentiment Analysis for Arabic Dialects
Maram Alharbi, Salmane Chafik, Saad Ezzini +3
The hospitality industry in the Arab world increasingly relies on customer feedback to shape services, driving the need for advanced Arabic sentiment analysis tools. To address thi…
M-DAIGT: A Shared Task on Multi-Domain Detection of AI-Generated Text
Salima Lamsiyah, Saad Ezzini, Abdelkader El Mahdaouy +5
The generation of highly fluent text by Large Language Models (LLMs) poses a significant challenge to information integrity and academic research. In this paper, we introduce the M…
Is Small Language Model the Silver Bullet to Low-Resource Languages Machine Translation?
Yewei Song, Lujun Li, Cedric Lothritz +6
Low-resource languages (LRLs) lack sufficient linguistic resources and are underrepresented in benchmark datasets, resulting in persistently lower translation quality than high-res…
CallNavi, A Challenge and Empirical Study on LLM Function Calling and Routing
Yewei Song, Xunzhu Tang, Cedric Lothritz +6
API-driven chatbot systems are increasingly integral to software engineering applications, yet their effectiveness hinges on accurately generating and executing API calls. This is…
Dialect2SQL: A Novel Text-to-SQL Dataset for Arabic Dialects with a Focus on Moroccan Darija
Salmane Chafik, Saad Ezzini, Ismail Berrada
The task of converting natural language questions (NLQs) into executable SQL queries, known as text-to-SQL, has gained significant interest in recent years, as it enables non-techn…