Tristan Thrush
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Bloom: A 176b-parameter open-access multilingual language model
T Le Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
Dynabench: Rethinking benchmarking in NLP
D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ...
NAACL, 2021
Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
T Thrush*, R Jiang, M Bartolo, A Singh, A Williams, D Kiela, C Ross*
CVPR, 2022
Learning from the worst: Dynamically generated datasets to improve online hate detection
B Vidgen, T Thrush, Z Waseem, D Kiela
ACL, 2021
The BigScience ROOTS Corpus: A 1.6 TB Composite Multilingual Dataset
H Laurençon, L Saulnier, T Wang, C Akiki, AV del Moral, T Le Scao, ...
NeurIPS Datasets and Benchmarks, 2022
DataPerf: Benchmarks for Data-Centric AI Development
M Mazumder, C Banbury, X Yao, B Karlaš, WG Rojas, S Diamos, ...
NeurIPS Datasets and Benchmarks, 2024
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation
M Bartolo, T Thrush, R Jia, S Riedel, P Stenetorp, D Kiela
EMNLP, 2021
TRL: Transformer reinforcement learning
L von Werra, Y Belkada, L Tunstall, E Beeching, T Thrush, N Lambert
GitHub. Available online at:, 2020
Human-adversarial visual question answering
S Sheng, A Singh, V Goswami, JAL Magana, T Thrush, W Galuba, ...
NeurIPS, 2021
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
Z Ma*, K Ethayarajh*, T Thrush*, S Jain, L Wu, R Jia, C Potts, A Williams, ...
NeurIPS, 2021
Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-based Hate
HR Kirk, B Vidgen, P Röttger, T Thrush, SA Hale
NAACL, 2022
Anlizing the adversarial natural language inference dataset
A Williams, T Thrush, D Kiela
SCiL, 2022
Towards language models that can see: Computer vision through the lens of natural language
W Berrios, G Mittal, T Thrush, D Kiela, A Singh
arXiv preprint arXiv:2306.16410, 2023
Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants
M Bartolo, T Thrush, S Riedel, P Stenetorp, R Jia, D Kiela
NAACL, 2022
Findings of the WMT 2021 Shared Task on Large-Scale Multilingual Machine Translation
G Wenzek, V Chaudhary, A Fan, S Gomez, N Goyal, S Jain, D Kiela, ...
WMT at EMNLP, 2021
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization
T Thrush, E Wilcox, R Levy
BlackboxNLP at EMNLP, 2020
Measuring data
M Mitchell, AS Luccioni, N Lambert, M Gerchick, A McMillan-Major, ...
arXiv preprint arXiv:2212.05129, 2022
Huggingface h4 stack exchange preference dataset
N Lambert, L Tunstall, N Rajani, T Thrush, 2023
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurement
L von Werra, L Tunstall, A Thakur, AS Luccioni, T Thrush, A Piktus, ...
EMNLP System Demos, 2022
Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks
T Thrush, K Tirumala, A Gupta, M Bartolo, P Rodriguez, T Kane, ...
ACL System Demos, 2022
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