Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely
Event Knowledge in Large Language Models: The Gap Between the Impossible and the Unlikely
Abstract Word coāoccurrence patterns in language corpora contain a surprising amount of conceptual knowledge. Large language models (LLMs), trained to predict words in context, leverage these patterns to achieve impressive performance on diverse semantic tasks requiring world knowledge. An important but understudied question about LLMsā semantic abilities is whether they ā¦