Mark Yatskar
37 papers · 2010–2025 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
π Academic Marathon (15) π Conference Polyglot (9) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(9)
π
Conference Polyglot
(9)
π
Academic Marathon
(15)
π€
Dynamic Duo
(10)
π₯
Mega-Team
(50)
π§¬
Topic Evolution
π
Keyword Champion
(4)
β‘
Prolific Year
(5)
π
Trend Setter
ποΈ
Keyword Collector
(166)
β
The Questioner
(2)
π₯
Unstoppable
(10)
π
Century Club
(37)
Conferences
EMNLP (10)
CVPR (9)
NAACL (9)
ACL (3)
ECCV (2)
EACL (1)
ICCV (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Research topics
Keywords
language model
(5)
vision-language model
(4)
question answering
(4)
dataset bia
(4)
multimodal learning
(4)
gender bia
(4)
visual question answering
(4)
structured prediction
(3)
domain adaptation
(3)
coreference resolution
(3)
image understanding
(3)
data augmentation
(3)
domain shift
(3)
concept bottleneck
(2)
ensemble method
(2)
transfer learning
(2)
domain generalization
(2)
embodied ai
(2)
semantic role labeling
(2)
model robustness
(2)
Papers
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
CVPR 2025
Contra4: Evaluating Contrastive Cross-Modal Reasoning in Audio, Video, Image, and 3D
EMNLP 2025
ViUniT: Visual Unit Tests for More Robust Visual Programming
CVPR 2025
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
ACL 2025
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
NIPS 2024
Holodeck: Language Guided Generation of 3D Embodied AI Environments
CVPR 2024
CoMo: Controllable Motion Generation through Language Guided Pose Code Editing
ECCV 2024
ExpertQA: Expert-Curated Questions and Attributed Answers
NAACL 2024
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception
NAACL 2024
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference
EACL 2023
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
CVPR 2023
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models
EMNLP 2022
Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction
EMNLP 2022
Crowdsourcing Beyond Annotation: Case Studies in Benchmark Data Collection
EMNLP 2021
Visual Goal-Step Inference using wikiHow
EMNLP 2021
Visual Semantic Role Labeling for Video Understanding
CVPR 2021
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
EMNLP 2021
What Does BERT with Vision Look At?
ACL 2020
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
CVPR 2020
Grounded Situation Recognition
ECCV 2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles
EMNLP 2020
Donβt Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
EMNLP 2019
A Qualitative Comparison of CoQA, SQuAD 2.0 and QuAC
NAACL 2019
Gender Bias in Contextualized Word Embeddings
NAACL 2019
Donβt Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
IJCNLP 2019
Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
ICCV 2019
Neural Motifs: Scene Graph Parsing With Global Context
CVPR 2018
Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
NAACL 2018
QuAC: Question Answering in Context
EMNLP 2018
Proceedings of the Workshop on Generalization in the Age of Deep Learning
NAACL 2018
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
ACL 2017
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints
EMNLP 2017
Commonly Uncommon: Semantic Sparsity in Situation Recognition
CVPR 2017
Situation Recognition: Visual Semantic Role Labeling for Image Understanding
CVPR 2016
Stating the Obvious: Extracting Visual Common Sense Knowledge
NAACL 2016
Learning to Relate Literal and Sentimental Descriptions of Visual Properties
NAACL 2013
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia
NAACL 2010