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2020 – today
- 2024
[i11]Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Kumar Guha, Matt Jordan, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt:
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens. CoRR abs/2406.11271 (2024)- [i10]Khyathi Raghavi Chandu, Linjie Li, Anas Awadalla, Ximing Lu, Jae Sung Park, Jack Hessel, Lijuan Wang, Yejin Choi:
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness. CoRR abs/2407.01942 (2024) - [i9]Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - [i8]Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong:
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR abs/2408.12590 (2024) - 2023
- [c4]Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt:
VisIT-Bench: A Dynamic Benchmark for Evaluating Instruction-Following Vision-and-Language Models. NeurIPS 2023 - [c3]Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi:
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text. NeurIPS 2023 - [i7]Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi:
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text. CoRR abs/2304.06939 (2023) - [i6]Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, Matthew Jagielski, Irena Gao, Anas Awadalla, Pang Wei Koh, Daphne Ippolito, Katherine Lee, Florian Tramèr, Ludwig Schmidt:
Are aligned neural networks adversarially aligned? CoRR abs/2306.15447 (2023) - [i5]Anas Awadalla, Irena Gao, Josh Gardner, Jack Hessel, Yusuf Hanafy, Wanrong Zhu, Kalyani Marathe, Yonatan Bitton, Samir Yitzhak Gadre, Shiori Sagawa, Jenia Jitsev, Simon Kornblith, Pang Wei Koh, Gabriel Ilharco, Mitchell Wortsman, Ludwig Schmidt:
OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models. CoRR abs/2308.01390 (2023) - [i4]Yonatan Bitton, Hritik Bansal, Jack Hessel, Rulin Shao, Wanrong Zhu, Anas Awadalla, Josh Gardner, Rohan Taori, Ludwig Schmidt:
VisIT-Bench: A Benchmark for Vision-Language Instruction Following Inspired by Real-World Use. CoRR abs/2308.06595 (2023) - [i3]Dirk Groeneveld, Anas Awadalla, Iz Beltagy, Akshita Bhagia
, Ian Magnusson, Hao Peng, Oyvind Tafjord, Pete Walsh, Kyle Richardson, Jesse Dodge:
Catwalk: A Unified Language Model Evaluation Framework for Many Datasets. CoRR abs/2312.10253 (2023) - 2022
- [c2]Anas Awadalla, Mitchell Wortsman, Gabriel Ilharco, Sewon Min, Ian Magnusson, Hannaneh Hajishirzi, Ludwig Schmidt:
Exploring The Landscape of Distributional Robustness for Question Answering Models. EMNLP (Findings) 2022: 5971-5987 - [i2]Anas Awadalla, Mitchell Wortsman, Gabriel Ilharco, Sewon Min, Ian Magnusson, Hannaneh Hajishirzi, Ludwig Schmidt:
Exploring The Landscape of Distributional Robustness for Question Answering Models. CoRR abs/2210.12517 (2022) - 2021
- [c1]Chunjong Park, Anas Awadalla, Tadayoshi Kohno, Shwetak N. Patel:
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection. NeurIPS 2021: 3043-3056 - [i1]Chunjong Park, Anas Awadalla, Tadayoshi Kohno, Shwetak N. Patel:
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection. CoRR abs/2110.14019 (2021)
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