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Alexander Ratner

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Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models

Aug 01, 2023
Cheng-Yu Hsieh, Si-An Chen, Chun-Liang Li, Yasuhisa Fujii, Alexander Ratner, Chen-Yu Lee, Ranjay Krishna, Tomas Pfister

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Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias

Jun 28, 2023
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

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On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training

May 20, 2023
Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei Koh, Alexander Ratner

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MaskSearch: Querying Image Masks at Scale

May 03, 2023
Dong He, Jieyu Zhang, Maureen Daum, Alexander Ratner, Magdalena Balazinska

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DataComp: In search of the next generation of multimodal datasets

May 03, 2023
Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei Koh, Olga Saukh, Alexander Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt

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Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

May 03, 2023
Cheng-Yu Hsieh, Chun-Liang Li, Chih-Kuan Yeh, Hootan Nakhost, Yasuhisa Fujii, Alexander Ratner, Ranjay Krishna, Chen-Yu Lee, Tomas Pfister

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Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision

Oct 09, 2022
Jieyu Zhang, Linxin Song, Alexander Ratner

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Binary Classification with Positive Labeling Sources

Aug 02, 2022
Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner

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Understanding Programmatic Weak Supervision via Source-aware Influence Function

May 25, 2022
Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander Ratner

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