The swift evolution of Large-scale Models (LMs), either language-focused or multi-modal,
has garnered extensive attention in both academy and industry. But despite the surge in …

Graph Neural Networks (GNNs) have become increasingly important due to their
representational power and state-of-the-art predictive performance on many fundamental …

Conditional story generation is significant in human-machine interaction, particularly in
producing stories with complex plots. While Large language models (LLMs) perform well on …

Detecting commonsense causal relations (causation) between events has long been an
essential yet challenging task. Given that events are complicated, an event may have …

Open-vocabulary learning has emerged as a cutting-edge research area, particularly in light
of the widespread adoption of vision-based foundational models. Its primary objective is to …

Short videos on social media are the dominant way young people consume content. News
outlets aim to reach audiences through news reels—short videos conveying news—but …

The growing capabilities of large language models (LLMs) have inspired recent efforts to
integrate LLM-generated dialogue into video games. However, evaluation remains a major …

The recent development of Transformers and large language models (LLMs) offer unique
opportunities to work with natural language. They bring a degree of understanding and …

Writing compelling fiction is a multifaceted process combining elements such as crafting a
plot, developing interesting characters, and using evocative language. While large language …

Large language models have demonstrated their capabilities in storyline creation and
human-like character role-playing. Current language model agents mainly focus on …