activity
20222026
most citedStarCoder: may the source be with you!

200 citations · 306 across the 11 of their papers we have counts for

collaborators

12 papers

cs.CL2026

Last Translation Benchmark

Vilém Zouhar, Niyati Bafna, Mukund Choudhary +263

For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…

cs.CL2025

Investigating LLM Capabilities on Long Context Comprehension for Medical Question Answering

Feras AlMannaa, Talia Tseriotou, Jenny Chim +1

This study is the first to investigate LLM comprehension capabilities over long-context (LC), clinically relevant medical Question Answering (QA) beyond MCQA. Our comprehensive app…

cs.CY2024★ 2 cited

Large language models for mental health

Andreas Triantafyllopoulos, Yannik Terhorst, Iosif Tsangko +10

Digital technologies have long been explored as a complement to standard procedure in mental health research and practice, ranging from the management of electronic health records…

cs.CL2024

Data Contamination Report from the 2024 CONDA Shared Task

Oscar Sainz, Iker García-Ferrero, Alon Jacovi +25

The 1st Workshop on Data Contamination (CONDA 2024) focuses on all relevant aspects of data contamination in natural language processing, where data contamination is understood as…

cs.SE2024★ 22 cited

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Terry Yue Zhuo, Minh Chien Vu, Jenny Chim +30

Task automation has been greatly empowered by the recent advances in Large Language Models (LLMs) via Python code, where the tasks ranging from software engineering development to…

cs.CL2024

Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media

Jiayu Song, Jenny Chim, Adam Tsakalidis +3

We introduce a hybrid abstractive summarisation approach combining hierarchical VAE with LLMs (LlaMA-2) to produce clinically meaningful summaries from social media user timelines,…

cs.CL2023★ 200 cited

StarCoder: may the source be with you!

Raymond Li, Loubna Ben Allal, Yangtian Zi +64

The BigCode community, an open-scientific collaboration working on the responsible development of Large Language Models for Code (Code LLMs), introduces StarCoder and StarCoderBase…

cs.CL2023★ 65 cited

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Hugo Laurençon, Lucile Saulnier, Thomas Wang +51

As language models grow ever larger, the need for large-scale high-quality text datasets has never been more pressing, especially in multilingual settings. The BigScience workshop,…

cs.CL2022

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.CL2022★ 12 cited

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing

Jason Alan Fries, Leon Weber, Natasha Seelam +40

Training and evaluating language models increasingly requires the construction of meta-datasets --diverse collections of curated data with clear provenance. Natural language prompt…

cs.CL2022★ 3 cited

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code

Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran +74

Evaluation in machine learning is usually informed by past choices, for example which datasets or metrics to use. This standardization enables the comparison on equal footing using…

cs.CL2022★ 2 cited

Identifying Moments of Change from Longitudinal User Text

Adam Tsakalidis, Federico Nanni, Anthony Hills +3

Identifying changes in individuals' behaviour and mood, as observed via content shared on online platforms, is increasingly gaining importance. Most research to-date on this topic…