Grounded text generation systems often generate text that contains factual inconsistencies,
hindering their real-world applicability. Automatic factual consistency evaluation may help …

Natural Language Generation (NLG) has made great progress in recent years due to the
development of deep learning techniques such as pre-trained language models. This …

Fact-checking is an essential tool to mitigate the spread of misinformation and
disinformation. We introduce the task of fact-checking in dialogue, which is a relatively …

Task-oriented dialog (TOD) systems often require interaction with an external knowledge
base to retrieve necessary entity (eg, restaurant) information to support the response …

Dialogue contradiction is a critical issue in open-domain dialogue systems. The
contextualization nature of conversations makes dialogue contradiction detection rather …

Abstract Task-oriented Dialogue system (ToD) has gained significant attention due to its aim
to assist users in accomplishing various tasks. However, the neural network-based dialogue …

Tuning language models for dialogue generation has been a prevalent paradigm for
building capable dialogue agents. Yet, traditional tuning narrowly views dialogue generation …

Hallucination in Natural Language Generation (NLG) is like the elephant in the room,
obvious but often overlooked until recent achievements significantly improved the fluency …

Consistency identification in task-oriented dialogue (CI-ToD) can prevent inconsistent
dialogue response generation, which has recently emerged as an important and growing …

Most task-oriented dialogue (TOD) benchmarks assume users that know exactly how to use
the system by constraining the user behaviors within the system's capabilities via strict user …