5 papers
PediatricsMQA: a Multi-modal Pediatrics Question Answering Benchmark
Adil Bahaj, Oumaima Fadi, Mohamed Chetouani +1
Large language models (LLMs) and vision-augmented LLMs (VLMs) have significantly advanced medical informatics, diagnostics, and decision support. However, these models exhibit syst…
MizanQA: Benchmarking Large Language Models on Moroccan Legal Question Answering
Adil Bahaj, Mounir Ghogho
The rapid advancement of large language models (LLMs) has significantly propelled progress in natural language processing (NLP). However, their effectiveness in specialized, low-re…
Gauging Overprecision in LLMs: An Empirical Study
Adil Bahaj, Hamed Rahimi, Mohamed Chetouani +1
Recently, overconfidence in large language models (LLMs) has garnered considerable attention due to its fundamental importance in quantifying the trustworthiness of LLM generation.…
Skill Demand Forecasting Using Temporal Knowledge Graph Embeddings
Yousra Fettach, Adil Bahaj, Mounir Ghogho
Rapid technological advancements pose a significant threat to a large portion of the global workforce, potentially leaving them behind. In today's economy, there is a stark contras…
USER-VLM 360: Personalized Vision Language Models with User-aware Tuning for Social Human-Robot Interactions
Hamed Rahimi, Adil Bahaj, Mouad Abrini +3
The integration of vision-language models into robotic systems constitutes a significant advancement in enabling machines to interact with their surroundings in a more intuitive ma…