This survey paper proposes a clearer view of natural language reasoning in the field of
Natural Language Processing (NLP), both conceptually and practically. Conceptually, we …

Reasoning, as an essential ability for complex problem-solving, can provide back-end
support for various real-world applications, such as medical diagnosis, negotiation, etc. This …

Large Language Models (LLMs) have achieved great success in various natural language
tasks. It has aroused much interest in evaluating the specific reasoning capability of LLMs …

Reasoning, a crucial ability for complex problem-solving, plays a pivotal role in various real-
world settings such as negotiation, medical diagnosis, and criminal investigation. It serves …

Logical reasoning on natural language is one of the most challenging tasks for deep
learning models. There has been an increasing interest in developing new benchmarks to …

Logical reasoning is central to human cognition and intelligence. It includes deductive,
inductive, and abductive reasoning. Past research of logical reasoning within AI uses formal …

Logical reasoning task involves diverse types of complex reasoning over text, based on the
form of multiple-choice question answering (MCQA). Given the context, question and a set of …

Large Language Models have shown tremendous performance on a large variety of natural
language processing tasks, ranging from text comprehension to common sense reasoning …

Scientific abstracts provide a concise summary of research findings, making them a valuable
resource for extracting scientific arguments. In this study, we assess various unsupervised …

This paper addresses the problem of predicting hazards that drivers may encounter while
driving a car. We formulate it as a task of anticipating impending accidents using a single …