Large Language Models (LLMs) went from non-existent to ubiquitous in the machine
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …

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

This survey reviews works in which language models (LMs) are augmented with reasoning
skills and the ability to use tools. The former is defined as decomposing a potentially …

Reasoning is a fundamental aspect of human intelligence that plays a crucial role in
activities such as problem solving, decision making, and critical thinking. In recent years …

Large language models (LLMs) have shown remarkable reasoning capabilities, especially
when prompted to generate intermediate reasoning steps (eg, Chain-of-Thought, CoT) …

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 …

Theory of Mind (ToM) $\unicode {x2014} $ the ability to reason about the mental states of
other people $\unicode {x2014} $ is a key element of our social intelligence. Yet, despite …

Instruction fine-tuning has recently emerged as a promising approach for improving the zero-
shot capabilities of Large Language Models (LLMs) on new tasks. This technique has …

Chain-of-Thought (CoT), a step-wise and coherent reasoning chain, shows its impressive
strength when used as a prompting strategy for large language models (LLM). Recent years …

In this paper, we conduct a thorough investigation into the reasoning capabilities of Large
Language Models (LLMs), focusing specifically on the Open Pretrained Transformers (OPT) …