2 citations · 2 across the 3 of their papers we have counts for
3 papers
Factual Knowledge in Language Models: Robustness and Anomalies under Simple Temporal Context Variations
Hichem Ammar Khodja, Frédéric Béchet, Quentin Brabant +2
This paper explores the robustness of language models (LMs) to variations in the temporal context within factual knowledge. It examines whether LMs can correctly associate a tempor…
WikiFactDiff: A Large, Realistic, and Temporally Adaptable Dataset for Atomic Factual Knowledge Update in Causal Language Models
Hichem Ammar Khodja, Frédéric Béchet, Quentin Brabant +2
The factuality of large language model (LLMs) tends to decay over time since events posterior to their training are "unknown" to them. One way to keep models up-to-date could be fa…
Application of WGAN-GP in recommendation and Questioning the relevance of GAN-based approaches
Hichem Ammar Khodja, Oussama Boudjeniba
Many neural-based recommender systems were proposed in recent years and part of them used Generative Adversarial Networks (GAN) to model user-item interactions. However, the explor…