Machine Translation Quality Estimation (MTQE) is the task of estimating the quality of
machine-translated text in real time without the need for reference translations, which is of …

Large language models (LLMs) have gained immense attention and are being increasingly
applied in various domains. However, this technological leap forward poses serious security …

Retrieval augmented generation (RAG) has shown promise for enhancing natural language
understanding (NLU) capabilities of large language models (LLMs) by retrieving relevant …

This paper proposes an iterative retrieval augmented generation (RAG) approach to
improve spoken language understanding (SLU) capabilities. First, speech retrieval over the …