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pro vyhledávání: '"Khodja, Hichem Ammar"'
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 factual update: the task of inserting, replacing, or removing certain si
Externí odkaz:
http://arxiv.org/abs/2403.14364
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 exploration of Wasserstein GAN with Gradient Penalty (WGAN-GP) on recommenda
Externí odkaz:
http://arxiv.org/abs/2204.12527