| Winoground: Probing vision and language models for visio-linguistic compositionality T Thrush, R Jiang, M Bartolo, A Singh, A Williams, D Kiela, C Ross Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 275 | 2022 |
| Cm3: A causal masked multimodal model of the internet A Aghajanyan, B Huang, C Ross, V Karpukhin, H Xu, N Goyal, D Okhonko, ... arXiv preprint arXiv:2201.07520, 2022 | 131 | 2022 |
| Scaling autoregressive multi-modal models: Pretraining and instruction tuning L Yu, B Shi, R Pasunuru, B Muller, O Golovneva, T Wang, A Babu, B Tang, ... arXiv preprint arXiv:2309.02591 2 (3), 2023 | 77 | 2023 |
| Perturbation augmentation for fairer nlp R Qian, C Ross, J Fernandes, E Smith, D Kiela, A Williams arXiv preprint arXiv:2205.12586, 2022 | 73 | 2022 |
| Measuring social biases in grounded vision and language embeddings C Ross, B Katz, A Barbu North American Chapter of the Association for Computational Linguistics, 2020 | 55 | 2020 |
| Learning a natural-language to LTL executable semantic parser for grounded robotics C Wang, C Ross, YL Kuo, B Katz, A Barbu Conference on Robot Learning, 2020 | 30 | 2020 |
| Grounding language acquisition by training semantic parsers using captioned videos C Ross, A Barbu, Y Berzak, B Myanganbayar, B Katz Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 22 | 2018 |
| Vision-language models performing zero-shot tasks exhibit gender-based disparities M Hall, L Gustafson, A Adcock, I Misra, C Ross arXiv preprint arXiv:2301.11100, 2023 | 16 | 2023 |
| Facet: Fairness in computer vision evaluation benchmark L Gustafson, C Rolland, N Ravi, Q Duval, A Adcock, CY Fu, M Hall, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 15 | 2023 |
| Vision-language models performing zero-shot tasks exhibit disparities between gender groups M Hall, L Gustafson, A Adcock, I Misra, C Ross Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| An introduction to vision-language modeling F Bordes, RY Pang, A Ajay, AC Li, A Bardes, S Petryk, O Mañas, Z Lin, ... arXiv preprint arXiv:2405.17247, 2024 | 4 | 2024 |
| Improving text-to-image consistency via automatic prompt optimization O Mañas, P Astolfi, M Hall, C Ross, J Urbanek, A Williams, A Agrawal, ... arXiv preprint arXiv:2403.17804, 2024 | 4 | 2024 |
| DIG in: Evaluating disparities in image generations with indicators for geographic diversity M Hall, C Ross, A Williams, N Carion, M Drozdzal, AR Soriano arXiv preprint arXiv:2308.06198, 2023 | 4 | 2023 |
| Changing answer order can decrease mmlu accuracy V Gupta, D Pantoja, C Ross, A Williams, M Ung arXiv preprint arXiv:2406.19470, 2024 | 3 | 2024 |
| Towards reliable assessments of demographic disparities in multi-label image classifiers M Hall, B Chern, L Gustafson, D Ventura, H Kulkarni, C Ross, N Usunier arXiv preprint arXiv:2302.08572, 2023 | 3 | 2023 |
| Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision N Lui, B Chia, W Berrios, C Ross, D Kiela Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14220 …, 2024 | 1 | 2024 |
| Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance RA Hemmat, M Hall, A Sun, C Ross, M Drozdzal, A Romero-Soriano arXiv preprint arXiv:2406.04551, 2024 | | 2024 |
| Towards Geographic Inclusion in the Evaluation of Text-to-Image Models M Hall, SJ Bell, C Ross, A Williams, M Drozdzal, AR Soriano The 2024 ACM Conference on Fairness, Accountability, and Transparency, 585-601, 2024 | | 2024 |
| Improving Geo-diversity of Generated Images with Contextualized Vendi Score Guidance R Askari Hemmat, M Hall, A Sun, C Ross, M Drozdzal, A Romero-Soriano arXiv e-prints, arXiv: 2406.04551, 2024 | | 2024 |
| [Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus L Choshen, R Cotterell, MY Hu, T Linzen, A Mueller, C Ross, A Warstadt, ... arXiv preprint arXiv:2404.06214, 2024 | | 2024 |
Adina WilliamsResearch Scientist, FAIR (Meta Platforms Inc.)Verified email at nyu.edu
