Challenges and applications of large language models
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 …
learning discourse within a few years. Due to the fast pace of the field, it is difficult to identify …
A survey of deep learning for mathematical reasoning
Mathematical reasoning is a fundamental aspect of human intelligence and is applicable in
various fields, including science, engineering, finance, and everyday life. The development …
various fields, including science, engineering, finance, and everyday life. The development …
A survey of large language models
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …
[HTML][HTML] ChatGPT: Jack of all trades, master of none
OpenAI has released the Chat Generative Pre-trained Transformer (ChatGPT) and
revolutionized the approach in artificial intelligence to human-model interaction. The first …
revolutionized the approach in artificial intelligence to human-model interaction. The first …
Is ChatGPT a general-purpose natural language processing task solver?
Spurred by advancements in scale, large language models (LLMs) have demonstrated the
ability to perform a variety of natural language processing (NLP) tasks zero-shot--ie, without …
ability to perform a variety of natural language processing (NLP) tasks zero-shot--ie, without …
Pal: Program-aided language models
Large language models (LLMs) have demonstrated an impressive ability to perform
arithmetic and symbolic reasoning tasks, when provided with a few examples at test time (" …
arithmetic and symbolic reasoning tasks, when provided with a few examples at test time (" …
Towards reasoning in large language models: A survey
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 …
activities such as problem solving, decision making, and critical thinking. In recent years …
Automatic chain of thought prompting in large language models
Large language models (LLMs) can perform complex reasoning by generating intermediate
reasoning steps. Providing these steps for prompting demonstrations is called chain-of …
reasoning steps. Providing these steps for prompting demonstrations is called chain-of …
Let's verify step by step
In recent years, large language models have greatly improved in their ability to perform
complex multi-step reasoning. However, even state-of-the-art models still regularly produce …
complex multi-step reasoning. However, even state-of-the-art models still regularly produce …
Challenging big-bench tasks and whether chain-of-thought can solve them
BIG-Bench (Srivastava et al., 2022) is a diverse evaluation suite that focuses on tasks
believed to be beyond the capabilities of current language models. Language models have …
believed to be beyond the capabilities of current language models. Language models have …