Large language models (LLMs) have come closest among all models to date to mastering
human language, yet opinions about their linguistic and cognitive capabilities remain split …

Abstract Knowledge Graph (KG) provides high-quality structured knowledge for various
downstream knowledge-aware tasks (such as recommendation and intelligent question …

Text-conditioned image generation models have recently achieved astonishing results in
image quality and text alignment and are consequently employed in a fast-growing number …

As humans, we navigate a multimodal world, building a holistic understanding from all our
senses. We introduce MERLOT Reserve, a model that represents videos jointly over time …

As humans, we understand events in the visual world contextually, performing multimodal
reasoning across time to make inferences about the past, present, and future. We introduce …

Commonsense reasoning remains a major challenge in AI, and yet, recent progresses on
benchmarks may seem to suggest otherwise. In particular, the recent neural language …

Recent work by Zellers et al.(2018) introduced a new task of commonsense natural
language inference: given an event description such as" A woman sits at a piano," a …

Large language models (LLMs) have made significant progress in NLP. However, their
ability to memorize, represent, and leverage commonsense knowledge has been a well …

The escalating debate on AI's capabilities warrants developing reliable metrics to assess
machine" intelligence". Recently, many anecdotal examples were used to suggest that …

When answering a question, people often draw upon their rich world knowledge in addition
to the particular context. Recent work has focused primarily on answering questions given …