Human language expression is based on the subjective construal of the situation instead of
the objective truth conditions, which means that speakers' personalities and emotions after …

Despite advancements in conversational AI, language models encounter challenges to
handle diverse conversational tasks, and existing dialogue dataset collections often lack …

Although pre-trained language models have remarkably enhanced the generation ability of
dialogue systems, open-domain Chinese dialogue systems are still limited by the dialogue …

In communication, a human would recognize the emotion of an interlocutor and respond
with an appropriate emotion, such as empathy and comfort. Toward developing a dialogue …

Towards human-like dialogue systems, current emotional dialogue approaches jointly
model emotion and semantics with a unified neural network. This strategy tends to generate …

Personalized dialogue generation, focusing on generating highly tailored responses by
leveraging persona profiles and dialogue context, has gained significant attention in …

To explore the limit of dialogue generation pre-training, we present the models of PLATO-XL
with up to 11 billion parameters, trained on both Chinese and English social media …

In this paper, we introduce PanGu-Bot, a Chinese pre-trained open-domain dialogue
generation model based on a large pre-trained language model (PLM) PANGU-alpha (Zeng …

In this paper, we present ChatPLUG, a Chinese open-domain dialogue system for digital
human applications that instruction finetunes on a wide range of dialogue tasks in a unified …

In this paper, we investigate the emotion recognition ability of the pre-training language
model, namely BERT. By the nature of the framework of BERT, a two-sentence structure, we …