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 …

Transformer language models have received widespread public attention, yet their
generated text is often surprising even to NLP researchers. In this survey, we discuss over …

Transformer models such as GPT generate human-like language and are predictive of
human brain responses to language. Here, using functional-MRI-measured brain responses …

Within the domain of Natural Language Processing (NLP), Large Language Models (LLMs)
represent sophisticated models engineered to comprehend, generate, and manipulate text …

The development of machines that “talk like us”, also known as Natural Language
Understanding (NLU) systems, is the Holy Grail of Artificial Intelligence (AI), since language …

Estimating the log-likelihood of a given sentence under an autoregressive language model
is straightforward: one can simply apply the chain rule and sum the log-likelihood values for …

Animacy-whether an entity is alive and sentient-is fundamental to cognitive processing,
impacting areas such as memory, vision, and language. However, animacy is not always …

Instruction-tuned LLMs can respond to explicit queries formulated as prompts, which greatly
facilitates interaction with human users. However, prompt-based approaches might not …

Ellipsis is a linguistic phenomenon characterized by the omission of one or more sentence
elements. Solving such a linguistic construction is not a trivial issue in natural language …

Historical news media reports serve as a vital data source for understanding the risk of
urban ground collapse (UGC) events. At present, the application of large language models …