Text-to-video is a rapidly growing research area that aims to generate a semantic, identical,
and temporal coherence sequence of frames that accurately align with the input text prompt …

Instruction following vision-language (VL) models offer a flexibleinterface that supports a
broad range of multimodal tasks in a zero-shot fashion. However, interfaces that operate on …

Structured knowledge is important for many AI applications. Commonsense knowledge,
which is crucial for robust human-centric AI, is covered by a small number of structured …

Symbolic knowledge graphs (KGs) have been constructed either by expensive human
crowdsourcing or with complex text mining pipelines. The emerging large pretrained …

It is crucial to automatically construct knowledge graphs (KGs) of diverse new relations to
support knowledge discovery and broad applications. Previous KG construction methods …

General-purpose knowledge bases (KBs) are a cornerstone of knowledge-centric AI. Many
of them are constructed pragmatically from web sources and are thus far from complete. This …

Commonsense knowledge about everyday concepts is an important asset for AI
applications, such as question answering and chatbots. Recently, we have seen an …

Analogical reasoning is a fundamental cognitive ability of humans. However, current
language models (LMs) still struggle to achieve human-like performance in analogical …

One of the big challenges in robotics is the generalization necessary for performing
unknown tasks in unknown environments on unknown objects. For us humans, this …

Grasping the commonsense properties of everyday concepts is an important prerequisite to
language understanding. While contextualised language models are reportedly capable of …