---
title: "Mark Yatskar — all works — Elamur Research"
description: "All 49 works of Mark Yatskar in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/mark-yatskar/works/"
---
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# Mark Yatskar — all works

49 works · [← Mark Yatskar](https://md.research.elamur.ai/free/en/authors/mark-yatskar/)

1. [**VisualBERT: A Simple and Performant Baseline for Vision and Language arXiv:1908.03557**Liunian Harold Li, Mark Yatskar, Da Yin, et al.*2019 · 1,568 citations*](https://md.research.elamur.ai/free/en/papers/li-2019-visualbert-simple-performant-baseline-vision/)
2. **[Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods](https://md.research.elamur.ai/free/en/papers/zhao-2018-gender-bias-coreference-resolution-evaluation/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2018 · 1,202 citations*
3. **[Neural Motifs: Scene Graph Parsing with Global Context ↗](https://doi.org/10.1109/cvpr.2018.00611) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Rowan Zellers et al.*2018 · 1,096 citations*
4. **[QuAC: Question Answering in Context](https://md.research.elamur.ai/free/en/papers/choi-2018-quac-question-answering-context/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eunsol Choi, He He, Mohit Iyyer, et al.*2018 · 1,066 citations*
5. **[Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints](https://md.research.elamur.ai/free/en/papers/zhao-2017-men-also-like-shopping-reducing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2017 · 1,050 citations*
6. **[Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases ↗](https://aclanthology.org/D19-1418/) 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 yet**Christopher Clark, Mark Yatskar, Luke Zettlemoyer*2019 · 509 citations*
7. **[Gender Bias in Contextualized Word Embeddings](https://md.research.elamur.ai/free/en/papers/zhao-2019-gender-bias-contextualized-word-embeddings/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2019 · 508 citations*
8. [**Neural AMR: Sequence-to-Sequence Models for Parsing and Generation**Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, et al.*Machine translation · 425 citations*](https://md.research.elamur.ai/free/en/papers/konstas-2017-neural-amr-sequence-sequence-models/)
9. **[Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations ↗](https://doi.org/10.1109/iccv.2019.00541) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Tianlu Wang et al.*2019 · 393 citations*
10. **[Situation Recognition: Visual Semantic Role Labeling for Image Understanding ↗](https://doi.org/10.1109/cvpr.2016.597) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mark Yatskar, Luke Zettlemoyer, Ali Farhadi*2016 · 310 citations*
11. **[RoboTHOR: An Open Simulation-to-Real Embodied AI Platform ↗](https://doi.org/10.1109/cvpr42600.2020.00323) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Matt Deitke et al.*2020 · 231 citations*
12. **[For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia](https://md.research.elamur.ai/free/en/papers/yatskar-2010-sake-simplicity-unsupervised-extraction-lexical/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Mark Yatskar, Bo Pang, Cristian Danescu-Niculescu-Mizil, et al.*2010 · 209 citations*
13. **[Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification ↗](https://doi.org/10.1109/cvpr52729.2023.01839) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yue Yang et al.*2023 · 184 citations*
14. **[What Does BERT with Vision Look At? ↗](https://aclanthology.org/2020.acl-main.469/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Liunian Harold Li et al.*2020 · 171 citations*
15. **[Grounded Situation Recognition ↗](https://doi.org/10.1007/978-3-030-58548-8_19) Lecture notes in computer science · no summary yet**Sarah M Pratt et al.*2020 · 121 citations*
16. **[Holodeck: Language Guided Generation of 3D Embodied AI Environments ↗](https://doi.org/10.1109/cvpr52733.2024.01536) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yue Yang et al.*2024 · 115 citations*
17. **[ExpertQA: Expert-Curated Questions and Attributed Answers](https://md.research.elamur.ai/free/en/papers/malaviya-2024-expertqa-expert-curated-questions-attributed/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chaitanya Malaviya, Subin Lee, Sihao Chen, et al.*2024 · 113 citations*
18. **[A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC ↗](https://aclanthology.org/N19-1241/) 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 yet**Yatskar, Mark*2019 · 96 citations*
19. **[Visual Semantic Role Labeling for Video Understanding ↗](https://doi.org/10.1109/cvpr46437.2021.00554) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Arka Sadhu et al.*2021 · 81 citations*
20. **[Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles ↗](https://aclanthology.org/2020.findings-emnlp.272/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Christopher Clark, Mark Yatskar, Luke Zettlemoyer*2020 · 72 citations*
21. **[See No Evil, Say No Evil: Description Generation from Densely Labeled Images ↗](https://aclanthology.org/S14-1015/) Proceedings of the Third Joint Conference on Lexical and Computational Semantics (*SEM 2014) · no summary yet**Mark Yatskar et al.*2014 · 70 citations*
22. **[Stating the Obvious: Extracting Visual Common Sense Knowledge ↗](https://aclanthology.org/N16-1023/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Mark Yatskar, Vicente Ordonez, Ali Farhadi*2016 · 64 citations*
23. **[Commonly Uncommon: Semantic Sparsity in Situation Recognition ↗](https://doi.org/10.1109/cvpr.2017.671) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mark Yatskar et al.*2017 · 46 citations*
24. **[Visual Goal-Step Inference using wikiHow ↗](https://aclanthology.org/2021.emnlp-main.165/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yue Yang et al.*2021 · 40 citations*
25. **[CoMo: Controllable Motion Generation Through Language Guided Pose Code Editing ↗](https://doi.org/10.1007/978-3-031-73397-0_11) Lecture notes in computer science · no summary yet**Yiming Huang et al.*2024 · 31 citations*
26. **[Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation ↗](https://aclanthology.org/2025.acl-long.855/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yue Yang et al.*2025 · 24 citations*
27. **[Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval ↗](https://arxiv.org/abs/2111.09276) arXiv (Cornell University) · no summary yet**Yue Yang et al.*2021 · 15 citations*
28. [**AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference**Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar*English · 14 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2023-ambicoref-evaluating-human-model-sensitivity/)
29. **[Dolomites: Domain-Specific Long-Form Methodical Tasks](https://md.research.elamur.ai/free/en/papers/malaviya-2025-dolomites-domain-specific-long-form/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, et al.*2025 · 12 citations*
30. **[Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck ↗](https://arxiv.org/abs/2310.19660) arXiv (Cornell University) · no summary yet**Josh Magnus Ludan et al.*2023 · 12 citations*
31. **[Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models ↗](https://aclanthology.org/2022.emnlp-main.438/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar*2022 · 12 citations*
32. **[ResearchQA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubrics ↗](https://arxiv.org/abs/2509.00496) arXiv (Cornell University) · no summary yet**Yifei Li et al.*2025 · 11 citations*
33. **[Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text ↗](https://aclanthology.org/2021.emnlp-main.141/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Christopher Clark et al.*2021 · 10 citations*
34. **[Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries ↗](https://aclanthology.org/2025.tacl-1.41/) Transactions of the Association for Computational Linguistics · no summary yet**Chaitanya Malaviya et al.*2025 · 8 citations*
35. **[Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection ↗](https://aclanthology.org/2021.emnlp-tutorials.1/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts · no summary yet**Alane Suhr et al.*2021 · 7 citations*
36. **[Dynamic Clue Bottlenecks: Towards Interpretable-by-Design Visual Question Answering ↗](https://arxiv.org/abs/2305.14882) arXiv (Cornell University) · no summary yet**Xingyu Fu et al.*2023 · 6 citations*
37. **[A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis ↗](https://doi.org/10.52202/079017-2879) neural information processing systems · no summary yet**Yue Yang et al.*2024 · 5 citations*
38. **[What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception ↗](https://aclanthology.org/2024.naacl-long.168/) 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 yet**Chaitanya Malaviya et al.*2024 · 4 citations*
39. **[ViUniT: Visual Unit Tests for More Robust Visual Programming ↗](https://doi.org/10.1109/cvpr52734.2025.02295) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Artemis Panagopoulou et al.*2025 · 3 citations*
40. **[Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models ↗](https://arxiv.org/abs/2506.05339) arXiv (Cornell University) · no summary yet**Anirudh Bharadwaj et al.*2025 · 2 citations*
41. **[A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design ↗](https://arxiv.org/abs/2508.10899) arXiv:2508.10899 · no summary yet**Haydn Thomas Jones et al.*2025 · 2 citations*
42. **[Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction ↗](https://aclanthology.org/2022.findings-emnlp.45/) Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yet**Yue Yang et al.*2022 · 1 citation*
43. **[R ESEARCH QA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubrics](https://md.research.elamur.ai/free/en/papers/yifei-2026-r-esearch-qa-evaluating-scholarly/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Li S. Yifei, Allen Chang, Chaitanya Malaviya, et al.*2026*
44. **[Self-Driving Datasets: From 20 Million Papers to Nuanced Biomedical Knowledge at Scale ↗](https://arxiv.org/abs/2605.07022) arXiv (Cornell University) · no summary yet**Haydn Jones et al.*2026*
45. **[Efficiently Linking Unstructured Data for Multi-step Reasoning ↗](https://arxiv.org/abs/2609.19491) arXiv (Cornell University) · no summary yet**Jiaming Liang et al.*2026*
46. **[Purely Agent-Driven Black-Box Optimization for Biological Design ↗](https://arxiv.org/abs/2601.22382) arXiv (Cornell University) · no summary yet**Natalie Maus et al.*2026*
47. **[Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D ↗](https://aclanthology.org/2025.emnlp-main.1288/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Artemis Panagopoulou et al.*2025*
48. **[LLM-based Hierarchical Concept Decomposition for Interpretable Fine-Grained Image Classification ↗](https://arxiv.org/abs/2405.18672) arXiv (Cornell University) · no summary yet**Renyi Qu, Mark Yatskar*2024*
49. **[Learning to Relate Literal and Sentimental Descriptions of Visual Properties ↗](https://aclanthology.org/N13-1043/) Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Mark Yatskar et al.*2013*