Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer

arXiv:2402.14488v1 Announce Type: new
Abstract: The present study introduces the knowledge-augmented generator, which is specifically designed to produce information that remains grounded in contextual knowledge, regardless of alterations in the context. Previous research has predominantly focused on examining hallucinations stemming from static input, such as in the domains of summarization or machine translation. However, our investigation delves into the faithfulness of generative question answering in the presence of dynamic knowledge. Our objective is to explore the existence of hallucinations arising …

abstract analysis arxiv context cs.cl generative generator hallucinations information knowledge mind research stemming study transfer type