Tristan Thrush

Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality

Tristan Thrush, Ryan Jiang, Max Bartolo et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 168 citations

Engineering, Semantics, Large Language Model +17

Improving Question Answering Model Robustness with Synthetic Adversarial\n Data Generation

Max Bartolo, Tristan Thrush, Robin Jia et al. · arXiv (Cornell University) · 2021 · 66 citations · Full text

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Hugo Laurençon, Lucile Saulnier, Thomas J. Wang et al. · arXiv (Cornell University) · 2023 · 65 citations · Full text

Engineering, Multilingual Pretraining, Large Language Model +17

Hatemoji: A Test Suite and Adversarially-Generated Dataset for Benchmarking and Detecting Emoji-Based Hate

Hannah Rose Kirk, Bertie Vidgen, Paul Röttger et al. · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · 2022 · 40 citations · Full text

Emojis, Engineering, Detecting Emoji-based Hate +18

Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks

Tristan Thrush, Kushal Tirumala, Anmol Gupta et al. · 2022 · 40 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +19