papers

Publications (7)

cs.CL2024

Stable Code Technical Report

Nikhil Pinnaparaju, Reshinth Adithyan, Duy Phung +8

We introduce Stable Code, the first in our new-generation of code language models series, which serves as a general-purpose base code language model targeting code completion, reas…

cs.CL2024

Stable LM 2 1.6B Technical Report

Marco Bellagente, Jonathan Tow, Dakota Mahan +16

We introduce StableLM 2 1.6B, the first in a new generation of our language model series. In this technical report, we present in detail the data and training procedure leading to…

cs.CL2026

Lessons from the Trenches on Reproducible Evaluation of Language Models

Stella Biderman, Hailey Schoelkopf, Lintang Sutawika +27

Reliable evaluation of language models (LMs) remains an open challenge. Re- searchers and engineers face methodological issues such as the sensitivity of models to evaluation setup…

cs.CL2023

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

BigScience Workshop, :, Teven Le Scao +391

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to wi…

cs.CL2024

Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic

Zaid Alyafeai, Michael Pieler, Hannah Teufel +8

Large Language Models (LLMs) have shown impressive results in multiple domains of natural language processing (NLP) but are mainly focused on the English language. Recently, more L…

cs.CL2024

Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training

Michael Pieler, Marco Bellagente, Hannah Teufel +9

Recently published work on rephrasing natural text data for pre-training LLMs has shown promising results when combining the original dataset with the synthetically rephrased data.…