Yue Yang

According to our database, Yue Yang authored at least 21 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MolmoWeb: Open Visual Web Agent and Open Data for the Open Web.

Tanmay Gupta, Piper Wolters, Zixian Ma, Peter Sushko, Rock Yuren Pang, Diego Llanes, Yue Yang, Taira Anderson, Boyuan Zheng, Zhongzheng Ren, Harsh Trivedi, Taylor Blanton, Caleb Ouellette, Winson Han, Ali Farhadi, Ranjay Krishna

CoRR, April, 2026

MolmoPoint: Better Pointing for VLMs with Grounding Tokens.

Christopher Clark, Yue Yang, Jae Sung Park, Zixian Ma, Jieyu Zhang, Rohun Tripathi, Mohammadreza Salehi, Sangho Lee, Taira Anderson, Winson Han, Ranjay Krishna

CoRR, March, 2026

Unified Spatio-Temporal Token Scoring for Efficient Video VLMs.

Jianrui Zhang, Yue Yang, Rohun Tripathi, Winson Han, Ranjay Krishna, Christopher Clark, Yong Jae Lee, Sangho Lee

CoRR, March, 2026

Connecting the Dots: Surfacing Structure in Documents through AI-Generated Cross-Modal Links.

Alyssa Hwang, Hita Kambhamettu, Yue Yang, Ajay Patel, Joseph Chee Chang, Andrew Head

CoRR, February, 2026

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding.

Christopher Clark, Jieyu Zhang, Zixian Ma, Jae Sung Park, Mohammadreza Salehi, Rohun Tripathi, Sangho Lee, Zhongzheng Ren, Chris Dongjoo Kim, Yinuo Yang, Vincent Shao, Yue Yang, Weikai Huang, Ziqi Gao, Taira Anderson, Jianrui Zhang, Jitesh Jain, George Stoica, Winson Han, Ali Farhadi, Ranjay Krishna

CoRR, January, 2026

2025

HOLODECK 2.0: Vision-Language-Guided 3D World Generation with Editing.

Zixuan Bian, Ruohan Ren, Yue Yang, Chris Callison-Burch

CoRR, August, 2025

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation.

Yue Yang, Ajay Patel, Matt Deitke, Tanmay Gupta, Luca Weihs, Andrew Head, Mark Yatskar, Chris Callison-Burch, Ranjay Krishna, Aniruddha Kembhavi, Christopher Clark

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models.

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

CoRR, 2024

A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis.

Yue Yang, Mona Gandhi, Yufei Wang, Yifan Wu, Michael S. Yao, Chris Callison-Burch, James C. Gee, Mark Yatskar

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

MiRAGeNews: Multimodal Realistic AI-Generated News Detection.

Runsheng Huang, Liam Dugan, Yue Yang, Chris Callison-Burch

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CoMo: Controllable Motion Generation Through Language Guided Pose Code Editing.

Yiming Huang, Weilin Wan, Yue Yang, Chris Callison-Burch, Mark Yatskar, Lingjie Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

Holodeck: Language Guided Generation of 3D Embodied AI Environments.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck.

Josh Magnus Ludan, Qing Lyu, Yue Yang, Liam Dugan, Mark Yatskar, Chris Callison-Burch

CoRR, 2023

Causal Reasoning of Entities and Events in Procedural Texts.

Li Zhang, Hainiu Xu, Yue Yang, Shuyan Zhou, Weiqiu You, Manni Arora, Chris Callison-Burch

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification.

Yue Yang, Artemis Panagopoulou, Shenghao Zhou, Daniel Jin, Chris Callison-Burch, Mark Yatskar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors.

Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, Smaranda Muresan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction.

Yue Yang, Artemis Panagopoulou, Marianna Apidianaki, Mark Yatskar, Chris Callison-Burch

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data.

Shuyan Zhou, Li Zhang, Yue Yang, Qing Lyu, Pengcheng Yin, Chris Callison-Burch, Graham Neubig

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval.

Yue Yang, Joongwon Kim, Artemis Panagopoulou, Mark Yatskar, Chris Callison-Burch

CoRR, 2021

Visual Goal-Step Inference using wikiHow.

Yue Yang, Artemis Panagopoulou, Qing Lyu, Li Zhang, Mark Yatskar, Chris Callison-Burch

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021