grounding for improving the dialogue quality. In the new era of large language model (LLM), the paradigm becomes to pretrain large models and then unlock the general abilities by supervised finetuning or reinforcement learning, such as ChatGPT, ChatGLM(Du et al.,2022)and LLaMA(Touvron et al...
While research has been conducted on the detection and replacement of sensitive data in Swedish medical data using Large Language Models (LLMs), it is unclear whether these models handle PII in less structured and more thematically varied texts equally well. In this paper, we present and discuss...
[85] proposes a sequence-to-sequence denoising auto-encoder pre-trained on large-scale monolingual corpora in many languages using the BART objective. We also export mBART for sentence-level NMT (mBart→Sent). 4.2. Experiments Setup. All models are implemented on top of the open-source toolkit...