We introduce a novel dataset tailored for code generation, aimed at aiding developers in
common tasks. Our dataset provides examples that include a clarified intent, code snippets …

The Transformer architecture has significantly advanced deep learning, particularly in natural
language processing, by effectively managing long-range dependencies. However, as the …

This report introduces the Qwen2 series, the latest addition to our large language models
and large multimodal models. We release a comprehensive suite of foundational and …

… Parish, Emy Parparita, Alex Passos, Mikhail Pavlov, Andrew Peng, Adam Perelman, Filipe
de Avila Belbute Peres, Michael Petrov, Henrique Ponde de Oliveira Pinto, Michael, Pokorny, …

We introduce the Yi model family, a series of language and multimodal models that
demonstrate strong multi-dimensional capabilities. The Yi model family is based on 6B and 34B …

Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated
exceptional performance in code-related tasks. However, most existing models are solely pre-…

… The statistical information can be generated and consumed by Data-Juicer’s other OPs
and tools, and we will describe more details of them in later sections. This interface works at …

Prior work has combined chain-of-thought prompting in large language models (LLMs) with
programmatic representations to perform effective and transparent reasoning. While such an …

Mathematical reasoning serves as a cornerstone for assessing the fundamental cognitive
capabilities of human intelligence. In recent times, there has been a notable surge in the …

Large language models (LLMs) are capable to perform complex reasoning by in-context
learning (ICL) when provided with a few input-output demonstrations (demos) and more …