We present SODA: the first publicly available, million-scale high-quality social dialogue
dataset. Using SODA, we train COSMO: a generalizable conversation agent outperforming …

Human-like chatbots necessitate the use of commonsense reasoning in order to effectively
comprehend and respond to implicit information present within conversations. Achieving …

Effective conversation requires common ground: a shared understanding between the
participants. Common ground, however, does not emerge spontaneously in conversation …

We propose a novel task, G4C, to study teacher-student natural language interactions in a
goal-driven and grounded environment. Dungeons and Dragons (D&D), a role-playing …

While textual information significantly enhances the performance of pre-trained language
models (PLMs) in knowledge graph completion (KGC), the static and noisy nature of existing …

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

Humans talk in daily conversations while aligning and negotiating the expressed meanings
or common ground. Despite the impressive conversational abilities of the large generative …

As dialogue systems become more popular, evaluation of their response quality gains
importance. Engagingness highly correlates with overall quality and creates a sense of …

Memorizing and utilizing speakers' personas is a common practice for response generation
in long-term conversations. Yet, human-authored datasets often provide uninformative …

Most existing stylistic text rewriting methods and evaluation metrics operate on a sentence
level, but ignoring the broader context of the text can lead to preferring generic, ambiguous …