Mark Yatskar

80 papers A* 16Journal 43Unranked 20
YearRankTypeTitle / Venue / Authors
2026 J jnl
Purely Agentic Black-Box Optimization for Biological Design.
CoRR
Natalie Maus, Yimeng Zeng, Haydn Thomas Jones, Yining Huang, Gaurav Ng Goel, Alden Rose, Kyurae Kim, Hyun-Su Lee, Marcelo Der Torossian Torres, Fangping Wan, Cesar de la Fuente-Nunez, Mark Yatskar, Osbert Bastani, Jacob R. Gardner
2025 J jnl
A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design.
CoRR
Haydn Thomas Jones, Natalie Maus, Josh Magnus Ludan, Maggie Ziyu Huan, Jiaming Liang, Marcelo Der Torossian Torres, Jiatao Liang, Zachary G. Ives, Yoseph Barash, Cesar de la Fuente-Nunez, Jacob R. Gardner, Mark Yatskar
2025 J jnl
Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries.
Trans. Assoc. Comput. Linguistics
Chaitanya Malaviya, Joseph Chee Chang, Dan Roth, Mohit Iyyer, Mark Yatskar, Kyle Lo
2025 A* conf
Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D.
EMNLP
Artemis Panagopoulou, Le Xue, Honglu Zhou, Silvio Savarese, Ran Xu, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles
2025 J jnl
Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D.
CoRR
Artemis Panagopoulou, Le Xue, Honglu Zhou, Silvio Savarese, Ran Xu, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles
2025 J jnl
Dolomites: Domain-Specific Long-Form Methodical Tasks.
Trans. Assoc. Comput. Linguistics
Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, Pranesh Srinivasan, Fantine Huot, Jonathan Berant, Mark Yatskar, Dipanjan Das, Mirella Lapata, Chris Alberti
2025 J jnl
Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models.
CoRR
Anirudh Bharadwaj, Chaitanya Malaviya, Nitish Joshi, Mark Yatskar
2025 A* conf
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.
CVPR
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 J jnl
ResearchQA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubrics.
CoRR
Li S. Yifei, Allen Chang, Chaitanya Malaviya, Mark Yatskar
2025 — conf
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation.
ACL (1)
Yue Yang, Ajay Patel, Matt Deitke, Tanmay Gupta, Luca Weihs, Andrew Head, Mark Yatskar, Chris Callison-Burch, Ranjay Krishna, Aniruddha Kembhavi, Christopher Clark
2025 J jnl
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation.
CoRR
Yue Yang, Ajay Patel, Matt Deitke, Tanmay Gupta, Luca Weihs, Andrew Head, Mark Yatskar, Chris Callison-Burch, Ranjay Krishna, Aniruddha Kembhavi, Christopher Clark
2025 A* conf
ViUniT: Visual Unit Tests for More Robust Visual Programming.
CVPR
Artemis Panagopoulou, Honglu Zhou, Silvio Savarese, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles
2024 A* conf
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis.
NeurIPS
Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S. Yao, Chris Callison-Burch, James C. Gee, Mark Yatskar
2024 J jnl
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis.
CoRR
Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S. Yao, Chris Callison-Burch, James C. Gee, Mark Yatskar
2024 — conf
CoMo: Controllable Motion Generation Through Language Guided Pose Code Editing.
ECCV (29)
Yiming Huang, Weilin Wan, Yue Yang, Chris Callison-Burch, Mark Yatskar, Lingjie Liu
2024 J jnl
CoMo: Controllable Motion Generation through Language Guided Pose Code Editing.
CoRR
Yiming Huang, Weilin Wan, Yue Yang, Chris Callison-Burch, Mark Yatskar, Lingjie Liu
2024 J jnl
Contextualized Evaluations: Taking the Guesswork Out of Language Model Evaluations.
CoRR
Chaitanya Malaviya, Joseph Chee Chang, Dan Roth, Mohit Iyyer, Mark Yatskar, Kyle Lo
2024 J jnl
DOLOMITES: Domain-Specific Long-Form Methodical Tasks.
CoRR
Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, Pranesh Srinivasan, Fantine Huot, Jonathan Berant, Mark Yatskar, Dipanjan Das, Mirella Lapata, Chris Alberti
2024 — conf
ExpertQA: Expert-Curated Questions and Attributed Answers.
NAACL-HLT
Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth
2024 A* conf
Holodeck: Language Guided Generation of 3D Embodied AI Environments.
CVPR
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 J jnl
LLM-based Hierarchical Concept Decomposition for Interpretable Fine-Grained Image Classification.
CoRR
Renyi Qu, Mark Yatskar
2024 J jnl
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models.
CoRR
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, Jen Dumas, 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
2024 J jnl
ViUniT: Visual Unit Tests for More Robust Visual Programming.
CoRR
Artemis Panagopoulou, Honglu Zhou, Silvio Savarese, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles
2024 — conf
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception.
NAACL-HLT
Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar
2023 — conf
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference.
EACL (Findings)
Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar
2023 J jnl
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference.
CoRR
Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar
2023 J jnl
ExpertQA: Expert-Curated Questions and Attributed Answers.
CoRR
Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth
2023 J jnl
Holodeck: Language Guided Generation of 3D Embodied AI Environments.
CoRR
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
2023 J jnl
Interpretable by Design Visual Question Answering.
CoRR
Xingyu Fu, Ben Zhou, Sihao Chen, Mark Yatskar, Dan Roth
2023 J jnl
Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck.
CoRR
Josh Magnus Ludan, Qing Lyu, Yue Yang, Liam Dugan, Mark Yatskar, Chris Callison-Burch
2023 A* conf
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification.
CVPR
Yue Yang, Artemis Panagopoulou, Shenghao Zhou, Daniel Jin, Chris Callison-Burch, Mark Yatskar
2023 J jnl
Pachinko: Patching Interpretable QA Models through Natural Language Feedback.
CoRR
Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar
2022 A* conf
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models.
EMNLP
Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar
2022 J jnl
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models.
CoRR
Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar
2022 J jnl
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification.
CoRR
Yue Yang, Artemis Panagopoulou, Shenghao Zhou, Daniel Jin, Chris Callison-Burch, Mark Yatskar
2022 — conf
Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction.
EMNLP (Findings)
Yue Yang, Artemis Panagopoulou, Marianna Apidianaki, Mark Yatskar, Chris Callison-Burch
2022 J jnl
Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction.
CoRR
Yue Yang, Artemis Panagopoulou, Marianna Apidianaki, Mark Yatskar, Chris Callison-Burch
2021 — conf
Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection.
EMNLP (Tutorial Abstracts)
Alane Suhr, Clara Vania, Nikita Nangia, Maarten Sap, Mark Yatskar, Samuel R. Bowman, Yoav Artzi
2021 — conf
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text.
EMNLP (1)
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 J jnl
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text.
CoRR
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 J jnl
Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval.
CoRR
Yue Yang, Joongwon Kim, Artemis Panagopoulou, Mark Yatskar, Chris Callison-Burch
2021 — conf
Visual Goal-Step Inference using wikiHow.
EMNLP (1)
Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch
2021 J jnl
Visual Goal-Step Inference using wikiHow.
CoRR
Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch
2021 A* conf
Visual Semantic Role Labeling for Video Understanding.
CVPR
Arka Sadhu, Tanmay Gupta, Mark Yatskar, Ram Nevatia, Aniruddha Kembhavi
2021 J jnl
Visual Semantic Role Labeling for Video Understanding.
CoRR
Arka Sadhu, Tanmay Gupta, Mark Yatskar, Ram Nevatia, Aniruddha Kembhavi
2020 — conf
Grounded Situation Recognition.
ECCV (4)
Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi
2020 J jnl
Grounded Situation Recognition.
CoRR
Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi
2020 — conf
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles.
EMNLP (Findings)
Christopher Clark, Mark Yatskar, Luke Zettlemoyer
2020 J jnl
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles.
CoRR
Christopher Clark, Mark Yatskar, Luke Zettlemoyer
2020 A* conf
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform.
CVPR
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 J jnl
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform.
CoRR
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 A* conf
What Does BERT with Vision Look At?
ACL
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang
2019 — conf
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC.
NAACL-HLT (1)
Mark Yatskar
2019 A* conf
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations.
ICCV
Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez
2019 — conf
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases.
EMNLP/IJCNLP (1)
Christopher Clark, Mark Yatskar, Luke Zettlemoyer
2019 J jnl
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases.
CoRR
Christopher Clark, Mark Yatskar, Luke Zettlemoyer
2019 — conf
Gender Bias in Contextualized Word Embeddings.
NAACL-HLT (1)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang
2019 J jnl
Gender Bias in Contextualized Word Embeddings.
CoRR
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang
2019 J jnl
VisualBERT: A Simple and Performant Baseline for Vision and Language.
CoRR
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang
2018 J jnl
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC.
CoRR
Mark Yatskar
2018 J jnl
Adversarial Removal of Gender from Deep Image Representations.
CoRR
Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez
2018 — conf
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.
NAACL-HLT (2)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
2018 J jnl
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods.
CoRR
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
2018 A* conf
Neural Motifs: Scene Graph Parsing With Global Context.
CVPR
Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi
2018 J jnl
QuAC : Question Answering in Context.
CoRR
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer
2018 A* conf
QuAC: Question Answering in Context.
EMNLP
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer
2017 A* conf
Commonly Uncommon: Semantic Sparsity in Situation Recognition.
CVPR
Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi
2017 A* conf
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.
EMNLP
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
2017 J jnl
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints.
CoRR
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
2017 — —
Natural Language as a Scaffold for Visual Recognition
Mark Yatskar
2017 — conf
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation.
ACL (1)
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer
2017 J jnl
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation.
CoRR
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer
2017 J jnl
Neural Motifs: Scene Graph Parsing with Global Context.
CoRR
Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi
2016 J jnl
Commonly Uncommon: Semantic Sparsity in Situation Recognition.
CoRR
Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi
2016 A* conf
Situation Recognition: Visual Semantic Role Labeling for Image Understanding.
CVPR
Mark Yatskar, Luke Zettlemoyer, Ali Farhadi
2016 — conf
Stating the Obvious: Extracting Visual Common Sense Knowledge.
HLT-NAACL
Mark Yatskar, Vicente Ordonez, Ali Farhadi
2014 — conf
See No Evil, Say No Evil: Description Generation from Densely Labeled Images.
*SEM@COLING
Mark Yatskar, Michel Galley, Lucy Vanderwende, Luke Zettlemoyer
2013 — conf
Learning to Relate Literal and Sentimental Descriptions of Visual Properties.
HLT-NAACL
Mark Yatskar, Svitlana Volkova, Asli Celikyilmaz, Bill Dolan, Luke Zettlemoyer
2010 J jnl
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia
CoRR
Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil, Lillian Lee
2010 — conf
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia.
HLT-NAACL
Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil, Lillian Lee