Visual Goal-Step Inference using wikiHow. - Yue Yang 006; Artemis Panagopoulou; Qing Lyu 001; Li Zhang 039; Mark Yatskar; Chris Callison-Burch (EMNLP (1), 2021)

Induce, Edit, Retrieve: Language Grounded Multimodal Schema for Instructional Video Retrieval. - Yue Yang 006; Joongwon Kim; Artemis Panagopoulou; Mark Yatskar; Chris Callison-Burch (CoRR, 2021)

Show Me More Details: Discovering Hierarchies of Procedures from Semi-structured Web Data. - Shuyan Zhou; Li Zhang 039; Yue Yang 006; Qing Lyu 001; Pengcheng Yin; Chris Callison-Burch; Graham Neubig (ACL (1), 2022)

Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction. - Yue Yang 006; Artemis Panagopoulou; Marianna Apidianaki; Mark Yatskar; Chris Callison-Burch (EMNLP (Findings), 2022)

I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors. - Tuhin Chakrabarty; Arkadiy Saakyan; Olivia Winn; Artemis Panagopoulou; Yue Yang 006; Marianna Apidianaki; Smaranda Muresan (ACL (Findings), 2023)

Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification. - Yue Yang 006; Artemis Panagopoulou; Shenghao Zhou; Daniel Jin; Chris Callison-Burch; Mark Yatskar (CVPR, 2023)

Causal Reasoning of Entities and Events in Procedural Texts. - Li Zhang 039; Hainiu Xu; Yue Yang 006; Shuyan Zhou; Weiqiu You; Manni Arora; Chris Callison-Burch (EACL (Findings), 2023)

Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck. - Josh Magnus Ludan; Qing Lyu 001; Yue Yang 006; Liam Dugan; Mark Yatskar; Chris Callison-Burch (CoRR, 2023)

Holodeck: Language Guided Generation of 3D Embodied AI Environments. - Yue Yang 006; Fan-Yun Sun; Luca Weihs; Eli VanderBilt; Alvaro Herrasti; Winson Han; Jiajun Wu 001; Nick Haber; Ranjay Krishna; Lingjie Liu; Chris Callison-Burch; Mark Yatskar; et al. (CVPR, 2024)

CoMo: Controllable Motion Generation Through Language Guided Pose Code Editing. - Yiming Huang; Weilin Wan 001; Yue Yang 006; Chris Callison-Burch; Mark Yatskar; Lingjie Liu (ECCV (29), 2024)

MiRAGeNews: Multimodal Realistic AI-Generated News Detection. - Runsheng Huang; Liam Dugan; Yue Yang 006; Chris Callison-Burch (EMNLP (Findings), 2024)

A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis. - Yue Yang 006; Mona Gandhi; Yufei Wang; Yifan Wu; Michael S. Yao; Chris Callison-Burch; James C. Gee; Mark Yatskar (NeurIPS, 2024)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models. - Matt Deitke; Christopher Clark; Sangho Lee 008; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CoRR, 2024)

Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation. - Yue Yang 006; Ajay Patel; Matt Deitke; Tanmay Gupta; Luca Weihs; Andrew Head; Mark Yatskar; Chris Callison-Burch; Ranjay Krishna; Aniruddha Kembhavi; Christopher Clark (ACL (1), 2025)

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models. - Matt Deitke; Christopher Clark; Sangho Lee 001; Rohun Tripathi; Yue Yang 006; Jae Sung Park; Mohammadreza Salehi; Niklas Muennighoff; Kyle Lo; Luca Soldaini; Jiasen Lu; Taira Anderson; et al. (CVPR, 2025)