| 2026 | WACV | GHOST: Getting to the Bottom of Hallucinations with A Multi-round Consistency Benchmark. | Vibashan VS, Nadine Chang, Jenny Schmalfuss, Vishal M. Patel, Zhiding Yu, Jos M. lvarez |
| 2025 | CVPR | PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models. | Jenny Schmalfuss, Nadine Chang, Vibashan VS, Maying Shen, Andrs Bruhn, Jos M. lvarez |
| 2025 | CVPR | OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning. | Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, Jos M. lvarez |
| 2025 | IROS | Enhancing Autonomous Driving Safety with Collision Scenario Integration. | Zi Wang, Shiyi Lan, Xinglong Sun, Nadine Chang, Zhenxin Li, Zhiding Yu, Jos M. lvarez |
| 2025 | KDD | SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation. | Maying Shen, Nadine Chang, Sifei Liu, Jos M. lvarez |
| 2021 | ICML | Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection. | Nadine Chang, Zhiding Yu, Yu-Xiong Wang, Animashree Anandkumar, Sanja Fidler, Jos M. lvarez |