A key question about LLMs is whether they solve reasoning tasks by learning transferable algorithms or simply memorizing training data. This distinction matters: while memorization might handle ...

Artificial intelligence systems can write software and reason through complex problems. Yet even basic arithmetic can expose ...

Transformer models have significantly advanced machine learning, particularly in handling complex tasks such as natural language processing and arithmetic operations like addition and multiplication.

This repository contains the code for ACL 2024 paper: An Investigation of Neuron Activation as a Unified Lens to Explain Chain-of-Thought Eliciting Arithmetic Reasoning of LLMs. How to Cite: If you ...

large-scale language models (LLMs), such as OpenAI's GPT-4, has advanced and wide-ranging capabilities, such as generating natural sentences and solving various problems. However, even in elementary ...

You are required to complete a Python script that performs basic arithmetic operations with two predefined numbers. The script should do the following: Assign specific values to two variables, number1 ...

In recent years, large language models (LLMs) have made remarkable strides in their ability to understand and generate human-like text. These models, such as OpenAI’s GPT and Anthropic’s Claude, have ...