Mark Yatskar
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
7
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation. | Yue Yang, Ajay Patel, Matt Deitke, Tanmay Gupta, Luca Weihs, Andrew Head, Mark Yatskar, Chris Callison-Burch, Ranjay Krishna, Aniruddha Kembhavi, Christopher Clark |
| 2025 | CVPR | 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, Yen-Sung 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 B. Girshick, Ali Farhadi, Aniruddha Kembhavi |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D. | Artemis Panagopoulou, Le Xue, Honglu Zhou, Silvio Savarese, Ran Xu, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles |
| 2024 | CVPR | 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 |
| 2024 | ECCV | CoMo: Controllable Motion Generation Through Language Guided Pose Code Editing. | Yiming Huang, Weilin Wan, Yue Yang, Chris Callison-Burch, Mark Yatskar, Lingjie Liu |
| 2024 | NAACL | ExpertQA: Expert-Curated Questions and Attributed Answers. | Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth |
| 2024 | NAACL | What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception. | Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar |
| 2023 | CVPR | 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 |
| 2023 | EACL | AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference. | Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar |
| 2022 | EMNLP | Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models. | Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar |
| 2022 | EMNLP | Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction. | Yue Yang, Artemis Panagopoulou, Marianna Apidianaki, Mark Yatskar, Chris Callison-Burch |
| 2021 | CVPR | Visual Semantic Role Labeling for Video Understanding. | Arka Sadhu, Tanmay Gupta, Mark Yatskar, Ram Nevatia, Aniruddha Kembhavi |
| 2021 | EMNLP | Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. | Christopher Clark, Jordi Salvador, Dustin Schwenk, Derrick Bonafilia, Mark Yatskar, Eric Kolve, Alvaro Herrasti, Jonghyun Choi, Sachin Mehta, Sam Skjonsberg, Carissa Schoenick, Aaron Sarnat, Hannaneh Hajishirzi, Aniruddha Kembhavi, Oren Etzioni, Ali Farhadi |
| 2021 | EMNLP | Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection. | Alane Suhr, Clara Vania, Nikita Nangia, Maarten Sap, Mark Yatskar, Samuel R. Bowman, Yoav Artzi |
| 2021 | EMNLP | Visual Goal-Step Inference using wikiHow. | Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch |
| 2020 | ACL | What Does BERT with Vision Look At? | Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang |
| 2020 | CVPR | 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 |
| 2020 | ECCV | Grounded Situation Recognition. | Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi |
| 2020 | EMNLP | Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles. | Christopher Clark, Mark Yatskar, Luke Zettlemoyer |
| 2019 | EMNLP | Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases. | Christopher Clark, Mark Yatskar, Luke Zettlemoyer |
| 2019 | ICCV | 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 |
| 2019 | NAACL | A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC. | Mark Yatskar |
| 2019 | NAACL | Gender Bias in Contextualized Word Embeddings. | Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang |
| 2018 | CVPR | Neural Motifs: Scene Graph Parsing With Global Context. | Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi |
| 2018 | EMNLP | QuAC: Question Answering in Context. | Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer |
| 2018 | NAACL | Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. | Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang |
| 2017 | ACL | Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. | Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer |
| 2017 | CVPR | Commonly Uncommon: Semantic Sparsity in Situation Recognition. | Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi |
| 2017 | EMNLP | Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. | Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang |
| 2016 | CVPR | Situation Recognition: Visual Semantic Role Labeling for Image Understanding. | Mark Yatskar, Luke Zettlemoyer, Ali Farhadi |
| 2016 | NAACL | Stating the Obvious: Extracting Visual Common Sense Knowledge. | Mark Yatskar, Vicente Ordonez, Ali Farhadi |
| 2013 | NAACL | Learning to Relate Literal and Sentimental Descriptions of Visual Properties. | Mark Yatskar, Svitlana Volkova, Asli Celikyilmaz, Bill Dolan, Luke Zettlemoyer |
| 2010 | NAACL | For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia. | Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil, Lillian Lee |