Mark Yatskar — all works
- VisualBERT: A Simple and Performant Baseline for Vision and LanguagearXiv:1908.03557Liunian Harold Li, Mark Yatskar, Da Yin, et al.2019 · 1,568 citations
- Gender Bias in Coreference Resolution: Evaluation and Debiasing MethodsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.2018 · 1,202 citations
- Neural Motifs: Scene Graph Parsing with Global Context ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRowan Zellers et al.2018 · 1,096 citations
- QuAC: Question Answering in ContextConference on Empirical Methods in Natural Language Processing (EMNLP)Eunsol Choi, He He, Mohit Iyyer, et al.2018 · 1,066 citations
- Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level ConstraintsConference on Empirical Methods in Natural Language Processing (EMNLP)Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.2017 · 1,050 citations
- Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetChristopher Clark, Mark Yatskar, Luke Zettlemoyer2019 · 509 citations
- Gender Bias in Contextualized Word EmbeddingsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.2019 · 508 citations
- Neural AMR: Sequence-to-Sequence Models for Parsing and GenerationIoannis Konstas, Srinivasan Iyer, Mark Yatskar, et al.Machine translation · 425 citations
- Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetTianlu Wang et al.2019 · 393 citations
- Situation Recognition: Visual Semantic Role Labeling for Image Understanding ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMark Yatskar, Luke Zettlemoyer, Ali Farhadi2016 · 310 citations
- RoboTHOR: An Open Simulation-to-Real Embodied AI Platform ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMatt Deitke et al.2020 · 231 citations
- For the sake of simplicity: Unsupervised extraction of lexical simplifications from WikipediaConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil, et al.2010 · 209 citations
- Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYue Yang et al.2023 · 184 citations
- What Does BERT with Vision Look At? ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetLiunian Harold Li et al.2020 · 171 citations
- Grounded Situation Recognition ↗Lecture notes in computer science · no summary yetSarah M Pratt et al.2020 · 121 citations
- Holodeck: Language Guided Generation of 3D Embodied AI Environments ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYue Yang et al.2024 · 115 citations
- ExpertQA: Expert-Curated Questions and Attributed AnswersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chaitanya Malaviya, Subin Lee, Sihao Chen, et al.2024 · 113 citations
- A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetYatskar, Mark2019 · 96 citations
- Visual Semantic Role Labeling for Video Understanding ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetArka Sadhu et al.2021 · 81 citations
- Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetChristopher Clark, Mark Yatskar, Luke Zettlemoyer2020 · 72 citations
- See No Evil, Say No Evil: Description Generation from Densely Labeled Images ↗Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014) · no summary yetMark Yatskar et al.2014 · 70 citations
- Stating the Obvious: Extracting Visual Common Sense Knowledge ↗Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetMark Yatskar, Vicente Ordonez, Ali Farhadi2016 · 64 citations
- Commonly Uncommon: Semantic Sparsity in Situation Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMark Yatskar et al.2017 · 46 citations
- Visual Goal-Step Inference using wikiHow ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetYue Yang et al.2021 · 40 citations
- CoMo: Controllable Motion Generation Through Language Guided Pose Code Editing ↗Lecture notes in computer science · no summary yetYiming Huang et al.2024 · 31 citations
- Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYue Yang et al.2025 · 24 citations
- Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval ↗arXiv (Cornell University) · no summary yetYue Yang et al.2021 · 15 citations
- AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous CoreferenceYuewei Yuan, Chaitanya Malaviya, Mark YatskarEnglish · 14 citations
- Dolomites: Domain-Specific Long-Form Methodical TasksTransactions of the Association for Computational Linguistics (TACL)Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, et al.2025 · 12 citations
- Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck ↗arXiv (Cornell University) · no summary yetJosh Magnus Ludan et al.2023 · 12 citations
- Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetChaitanya Malaviya, Sudeep Bhatia, Mark Yatskar2022 · 12 citations
- ResearchQA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubrics ↗arXiv (Cornell University) · no summary yetYifei Li et al.2025 · 11 citations
- Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetChristopher Clark et al.2021 · 10 citations
- Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries ↗Transactions of the Association for Computational Linguistics · no summary yetChaitanya Malaviya et al.2025 · 8 citations
- Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts · no summary yetAlane Suhr et al.2021 · 7 citations
- Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question Answering ↗arXiv (Cornell University) · no summary yetXingyu Fu et al.2023 · 6 citations
- A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis ↗neural information processing systems · no summary yetYue Yang et al.2024 · 5 citations
- What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception ↗Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetChaitanya Malaviya et al.2024 · 4 citations
- ViUniT: Visual Unit Tests for More Robust Visual Programming ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetArtemis Panagopoulou et al.2025 · 3 citations
- Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models ↗arXiv (Cornell University) · no summary yetAnirudh Bharadwaj et al.2025 · 2 citations
- A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design ↗arXiv:2508.10899 · no summary yetHaydn Thomas Jones et al.2025 · 2 citations
- Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetYue Yang et al.2022 · 1 citation
- Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale ↗arXiv (Cornell University) · no summary yetHaydn Jones et al.2026
- Efficiently Linking Unstructured Data for Multi-step Reasoning ↗arXiv (Cornell University) · no summary yetJiaming Liang et al.2026
- Purely Agent-Driven Black-Box Optimization for Biological Design ↗arXiv (Cornell University) · no summary yetNatalie Maus et al.2026
- R ESEARCH QA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubrics ↗Transactions of the Association for Computational Linguistics · no summary yetLi S. Yifei et al.2026
- Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetArtemis Panagopoulou et al.2025
- LLM-based Hierarchical Concept Decomposition for Interpretable Fine-Grained Image Classification ↗arXiv (Cornell University) · no summary yetRenyi Qu, Mark Yatskar2024
- Learning to Relate Literal and Sentimental Descriptions of Visual Properties ↗Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetMark Yatskar et al.2013
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