Large language models (LLMs) have demonstrated impressive capabilities in natural
language processing. However, their internal mechanisms are still unclear and this lack of …

Although large language models often produce impressive outputs, it remains unclear how
they perform in real-world scenarios requiring strong reasoning skills and expert domain …

Detecting text generated by modern large language models is thought to be hard, as both
LLMs and humans can exhibit a wide range of complex behaviors. However, we find that a …

Pre-trained large language models (LLMs) have attracted increasing attention in biomedical
domains due to their success in natural language processing. However, the complex traits …

Ever-larger language models with ever-increasing capabilities are by now well-established
text processing tools. Alas, information extraction tasks such as named entity recognition are …

Recent works have demonstrated the effectiveness of self-alignment in which a large
language model is aligned to follow general instructions using instructional data generated …

The recent advent of powerful Large-Language Models (LLM) provides a new
conversational form of inquiry into historical memory (or, training data, in this case). We …

Creating conversational dialog systems that are able to converse naturally and engagingly
with humans on any topic remains one of the fundamental challenges of artificial …

During the pre-training step of natural language models, the main objective is to learn a
general representation of the pre-training dataset, usually requiring large amounts of textual …

Language is a unique ability of human beings. Although relatively simple for humans, the
ability to understand human language is a highly complex task for machines. For a machine …