Yatskar, Mark

16 publications

ICLR 2026 Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models Anirudh Bharadwaj, Chaitanya Malaviya, Nitish Joshi, Mark Yatskar
NeurIPS 2025 A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design Haydn Thomas Jones, Natalie Maus, Josh magnus Ludan, Maggie Ziyu Huan, Jiaming Liang, Marcelo Der Torossian Torres, Jiatao Liang, Zachary Ives, Yoseph Barash, Cesar de la Fuente-Nunez, Jacob R. Gardner, Mark Yatskar
CVPR 2025 Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, YenSung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross Girshick, Ali Farhadi, Aniruddha Kembhavi
CVPR 2025 ViUniT: Visual Unit Tests for More Robust Visual Programming Artemis Panagopoulou, Honglu Zhou, Silvio Savarese, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles
NeurIPS 2024 A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S. Yao, Chris Callison-Burch, James C. Gee, Mark Yatskar
NeurIPSW 2024 A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S Yao, Chris Callison-Burch, James Gee, Mark Yatskar
ECCV 2024 CoMo: Controllable Motion Generation Through Language Guided Pose Code Editing Yiming Huang, Weilin Wan, Yue Yang, Chris Callison-Burch, Mark Yatskar, Lingjie Liu
CVPR 2024 Holodeck: Language Guided Generation of 3D Embodied AI Environments Yue Yang, Fan-Yun Sun, Luca Weihs, Eli VanderBilt, Alvaro Herrasti, Winson Han, Jiajun Wu, Nick Haber, Ranjay Krishna, Lingjie Liu, Chris Callison-Burch, Mark Yatskar, Aniruddha Kembhavi, Christopher Clark
CVPR 2023 Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification Yue Yang, Artemis Panagopoulou, Shenghao Zhou, Daniel Jin, Chris Callison-Burch, Mark Yatskar
CVPR 2021 Visual Semantic Role Labeling for Video Understanding Arka Sadhu, Tanmay Gupta, Mark Yatskar, Ram Nevatia, Aniruddha Kembhavi
ECCV 2020 Grounded Situation Recognition Sarah Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi
CVPR 2020 RoboTHOR: An Open Simulation-to-Real Embodied AI Platform Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, Ali Farhadi
ICCV 2019 Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez
CVPR 2018 Neural Motifs: Scene Graph Parsing with Global Context Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi
CVPR 2017 Commonly Uncommon: Semantic Sparsity in Situation Recognition Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi
CVPR 2016 Situation Recognition: Visual Semantic Role Labeling for Image Understanding Mark Yatskar, Luke Zettlemoyer, Ali Farhadi