Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …

Theory of mind (ToM) evaluations currently focus on testing models using passive narratives
that inherently lack interactivity. We introduce FANToM, a new benchmark designed to stress …

Neural encoder-decoder models for language generation can be trained to predict words
directly from linguistic or non-linguistic inputs. When generating with these so-called end-to …

Empathy is a complex cognitive ability based on the reasoning of others' affective states. In
order to better understand others and express stronger empathy in dialogues, we argue that …

Open-domain dialogue system usually requires different sources of knowledge to generate
more informative and evidential responses. However, existing knowledge-grounded …

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 …

Recently, many prior works have made their own agents generate more personalized and
engaging responses using personachat. However, since this dataset is frozen in 2018, the …

Sentiment transfer is one popular example of a text style transfer task, where the goal is to
reverse the sentiment polarity of a text. With a sentiment reversal comes also a reversal in …

Despite the impressive successes of generation and dialogue systems, how to endow a text
generation system with particular personality traits to deliver more personalized responses …

In this paper, we consider mimicking fictional characters as a promising direction for building
engaging conversation models. To this end, we present a new practical task where only a …