Mark Yatskar

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 56

Top Topics

Image Classification

Coreference Resolution

Question Answering

Syntactic And Semantic Dependency Parsing

Top Venues

Publications

Yiming Huang, Weilin Wan, Yue Yang, Chris Callison-Burch, Mark Yatskar, Lingjie Liu
CoMo: Controllable Motion Generation through Language Guided Pose Code Editing. CoRR (2024)
Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception. NAACL-HLT (2024)
Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, Pranesh Srinivasan, Fantine Huot, Jonathan Berant, Mark Yatskar, Dipanjan Das, Mirella Lapata, Chris Alberti
DOLOMITES: Domain-Specific Long-Form Methodical Tasks. CoRR (2024)
Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth
ExpertQA: Expert-Curated Questions and Attributed Answers. NAACL-HLT (2024)
Renyi Qu, Mark Yatskar
LLM-based Hierarchical Concept Decomposition for Interpretable Fine-Grained Image Classification. CoRR (2024)
Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S. Yao, Chris Callison-Burch, James C. Gee, Mark Yatskar
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis. CoRR (2024)
Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference. CoRR (2023)
Josh Magnus Ludan, Qing Lyu, Yue Yang, Liam Dugan, Mark Yatskar, Chris Callison-Burch
Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck. CoRR (2023)
Yue Yang, Artemis Panagopoulou, Shenghao Zhou, Daniel Jin, Chris Callison-Burch, Mark Yatskar
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification. CVPR (2023)
Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth
ExpertQA: Expert-Curated Questions and Attributed Answers. CoRR (2023)
Xingyu Fu, Ben Zhou, Sihao Chen, Mark Yatskar, Dan Roth
Interpretable by Design Visual Question Answering. CoRR (2023)
Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar
Pachinko: Patching Interpretable QA Models through Natural Language Feedback. CoRR (2023)
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
Holodeck: Language Guided Generation of 3D Embodied AI Environments. CoRR (2023)
Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference. EACL (Findings) (2023)
Yue Yang, Artemis Panagopoulou, Shenghao Zhou, Daniel Jin, Chris Callison-Burch, Mark Yatskar
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification. CoRR (2022)
Yue Yang, Artemis Panagopoulou, Marianna Apidianaki, Mark Yatskar, Chris Callison-Burch
Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction. CoRR (2022)
Yue Yang, Artemis Panagopoulou, Marianna Apidianaki, Mark Yatskar, Chris Callison-Burch
Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction. EMNLP (Findings) (2022)
Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models. CoRR (2022)
Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models. EMNLP (2022)
Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch
Visual Goal-Step Inference using wikiHow. EMNLP (1) (2021)
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
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. EMNLP (1) (2021)
Arka Sadhu, Tanmay Gupta, Mark Yatskar, Ram Nevatia, Aniruddha Kembhavi
Visual Semantic Role Labeling for Video Understanding. CoRR (2021)
Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch
Visual Goal-Step Inference using wikiHow. CoRR (2021)
Yue Yang, Joongwon Kim, Artemis Panagopoulou, Mark Yatskar, Chris Callison-Burch
Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval. CoRR (2021)
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
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text. CoRR (2021)
Arka Sadhu, Tanmay Gupta, Mark Yatskar, Ram Nevatia, Aniruddha Kembhavi
Visual Semantic Role Labeling for Video Understanding. CVPR (2021)
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang
What Does BERT with Vision Look At? ACL (2020)
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
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform. CVPR (2020)
Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi
Grounded Situation Recognition. CoRR (2020)
Sarah M. Pratt, Mark Yatskar, Luca Weihs, Ali Farhadi, Aniruddha Kembhavi
Grounded Situation Recognition. ECCV (4) (2020)
Christopher Clark, Mark Yatskar, Luke Zettlemoyer
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles. CoRR (2020)
Christopher Clark, Mark Yatskar, Luke Zettlemoyer
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles. EMNLP (Findings) (2020)
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
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform. CoRR (2020)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang
Gender Bias in Contextualized Word Embeddings. NAACL-HLT (1) (2019)
Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations. ICCV (2019)
Christopher Clark, Mark Yatskar, Luke Zettlemoyer
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases. CoRR (2019)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang
Gender Bias in Contextualized Word Embeddings. CoRR (2019)
Mark Yatskar
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC. NAACL-HLT (1) (2019)
Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang
VisualBERT: A Simple and Performant Baseline for Vision and Language. CoRR (2019)
Christopher Clark, Mark Yatskar, Luke Zettlemoyer
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases. EMNLP/IJCNLP (1) (2019)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. NAACL-HLT (2) (2018)
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer
QuAC : Question Answering in Context. CoRR (2018)
Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez
Adversarial Removal of Gender from Deep Image Representations. CoRR (2018)
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, Luke Zettlemoyer
QuAC: Question Answering in Context. EMNLP (2018)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. CoRR (2018)
Mark Yatskar
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC. CoRR (2018)
Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi
Neural Motifs: Scene Graph Parsing With Global Context. CVPR (2018)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. CoRR (2017)
Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. EMNLP (2017)
Rowan Zellers, Mark Yatskar, Sam Thomson, Yejin Choi
Neural Motifs: Scene Graph Parsing with Global Context. CoRR (2017)
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. CoRR (2017)
Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi, Luke Zettlemoyer
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation. ACL (1) (2017)
Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi
Commonly Uncommon: Semantic Sparsity in Situation Recognition. CVPR (2017)
Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer, Ali Farhadi
Commonly Uncommon: Semantic Sparsity in Situation Recognition. CoRR (2016)
Mark Yatskar, Vicente Ordonez, Ali Farhadi
Stating the Obvious: Extracting Visual Common Sense Knowledge. HLT-NAACL (2016)
Mark Yatskar, Luke S. Zettlemoyer, Ali Farhadi
Situation Recognition: Visual Semantic Role Labeling for Image Understanding. CVPR (2016)
Mark Yatskar, Michel Galley, Lucy Vanderwende, Luke Zettlemoyer
See No Evil, Say No Evil: Description Generation from Densely Labeled Images. *SEM@COLING (2014)
Mark Yatskar, Svitlana Volkova, Asli Celikyilmaz, Bill Dolan, Luke S. Zettlemoyer
Learning to Relate Literal and Sentimental Descriptions of Visual Properties. HLT-NAACL (2013)
Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil, Lillian Lee
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia CoRR (2010)
Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil, Lillian Lee
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia. HLT-NAACL (2010)