Generative commonsense reasoning (GCR) in natural language is to reason about the
commonsense while generating coherent text. Recent years have seen a surge of interest in …

Mastering commonsense understanding and reasoning is a pivotal skill essential for
conducting engaging conversations. While there have been several attempts to create …

Self-disclosure, while being common and rewarding in social media interaction, also poses
privacy risks. In this paper, we take the initiative to protect the user-side privacy associated …

The advent of pre-trained language models (PLMs) has indisputably revolutionized the field
of natural language processing (NLP). Prior to their emergence, NLP research …

Despite their widespread adoption, neural conversation models have yet to exhibit natural
chat capabilities with humans. In this research, we examine user utterances as causes and …

Instruction-based multitasking has played a critical role in the success of large language
models (LLMs) in multi-turn dialog applications. While publicly available LLMs have shown …

In text generation, we aim to produce outputs that are not only correct but also diverse in
terms of content, use of words, and meaning. The ability to generate accurate and diverse …

The advancement of open-domain dialogue systems represents a significant goal of artificial
intelligence, aiming to create more engaging and human-like interactions between …

Human-like chatbots–machines that can act as humans to chat about any topic–need to
listen, understand, reason, respond, and interactively learn to optimize the whole process …

In the field of Natural Language Processing, there are many tasks that can be tackled
effectively using the cross-entropy (CE) loss function. However, the task of dialog generation …