1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2025
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.…
cs.CY2025
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…
cs.LG2022★ 1 cited
KG-NSF: Knowledge Graph Completion with a Negative-Sample-Free Approach
Adil Bahaj, Safae Lhazmir, Mounir Ghogho
Knowledge Graph (KG) completion is an important task that greatly benefits knowledge discovery in many fields (e.g. biomedical research). In recent years, learning KG embeddings to…