| Openflamingo: An open-source framework for training large autoregressive vision-language models A Awadalla, I Gao, J Gardner, J Hessel, Y Hanafy, W Zhu, K Marathe, ... arXiv preprint arXiv:2308.01390, 2023 | 416* | 2023 |
| Are aligned neural networks adversarially aligned? N Carlini, M Nasr, CA Choquette-Choo, M Jagielski, I Gao, PWW Koh, ... Advances in Neural Information Processing Systems 36, 2024 | 210 | 2024 |
| Multimodal c4: An open, billion-scale corpus of images interleaved with text W Zhu, J Hessel, A Awadalla, SY Gadre, J Dodge, A Fang, Y Yu, ... Advances in Neural Information Processing Systems 36, 2024 | 125 | 2024 |
| Visit-bench: A benchmark for vision-language instruction following inspired by real-world use Y Bitton, H Bansal, J Hessel, R Shao, W Zhu, A Awadalla, J Gardner, ... arXiv preprint arXiv:2308.06595, 2023 | 44 | 2023 |
| Reliable and trustworthy machine learning for health using dataset shift detection C Park, A Awadalla, T Kohno, S Patel Advances in Neural Information Processing Systems 34, 3043-3056, 2021 | 34 | 2021 |
| Exploring the landscape of distributional robustness for question answering models A Awadalla, M Wortsman, G Ilharco, S Min, I Magnusson, H Hajishirzi, ... arXiv preprint arXiv:2210.12517, 2022 | 26* | 2022 |
| xgen-mm (blip-3): A family of open large multimodal models L Xue, M Shu, A Awadalla, J Wang, A Yan, S Purushwalkam, H Zhou, ... arXiv preprint arXiv:2408.08872, 2024 | 8 | 2024 |
| MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens A Awadalla, L Xue, O Lo, M Shu, H Lee, EK Guha, M Jordan, S Shen, ... arXiv preprint arXiv:2406.11271, 2024 | 8 | 2024 |
| Catwalk: A unified language model evaluation framework for many datasets D Groeneveld, A Awadalla, I Beltagy, A Bhagia, I Magnusson, H Peng, ... arXiv preprint arXiv:2312.10253, 2023 | 3 | 2023 |
| xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations C Qin, C Xia, K Ramakrishnan, M Ryoo, L Tu, Y Feng, M Shu, H Zhou, ... arXiv preprint arXiv:2408.12590, 2024 | | 2024 |
| Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness KR Chandu, L Li, A Awadalla, X Lu, JS Park, J Hessel, L Wang, Y Choi arXiv preprint arXiv:2407.01942, 2024 | | 2024 |
Ludwig SchmidtStanford University and AnthropicVerified email at cs.washington.edu
