Large language models (LLMs), such as GPT4 and LLaMA, are creating significant
advancements in natural language processing, due to their strong text encoding/decoding …

Despite the ability to train capable LLMs, the methodology for maintaining their relevancy
and rectifying errors remains elusive. To this end, the past few years have witnessed a surge …

Large language models (LLMs) are increasingly adopted for a variety of tasks with implicit
graphical structures, such as planning in robotics, multi-hop question answering or …

Modern language models capture a large body of factual knowledge. However, some facts
can be incorrectly induced or become obsolete over time, resulting in factually incorrect …

This survey article proposes a clearer view of Natural Language Reasoning (NLR) in the
field of Natural Language Processing (NLP), both conceptually and practically …

Pre-trained Language Models (PLMs) which are trained on large text corpus via self-
supervised learning method, have yielded promising performance on various tasks in …