selected publications

2026

1. ECCV

   ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring

   Z. Li, W. Yao, Z. Wang, X. Sun, J. Chen, N. Chang, M. Shen, J. Song, Z. Wu, and others

   In European Conference on Computer Vision (ECCV), Oct 2026

   Paper Bib

   @inproceedings{li2026ztrs,
     title = {ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring},
     author = {Li, Z. and Yao, W. and Wang, Z. and Sun, X. and Chen, J. and Chang, N. and Shen, M. and Song, J. and Wu, Z. and others},
     booktitle = {European Conference on Computer Vision (ECCV)},
     year = {2026},
     month = oct,
   }

2. ICML

   Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development

   N. Chang^*, M. Shen^*, J. Wang, R. Mahmood, and J. M. Alvarez

   In International Conference on Machine Learning (ICML), Jul 2026

   Bib Website

   @inproceedings{chang2026position,
     title = {Position: Stop Reactively Patching Your Model Every Time and Start Proactive Test-Driven AI Development},
     author = {Chang, N. and Shen, M. and Wang, J. and Mahmood, R. and Alvarez, J. M.},
     booktitle = {International Conference on Machine Learning (ICML)},
     year = {2026},
     month = jul,
   }

3. CVPR

   Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems

   T. Dimlioglu, N. Chang, M. Shen, R. Mahmood, and J. M. Alvarez

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2026

   Paper Bib Website

   @inproceedings{dimlioglu2026scaling,
     title = {Scaling-Aware Data Selection for End-to-End Autonomous Driving Systems},
     author = {Dimlioglu, T. and Chang, N. and Shen, M. and Mahmood, R. and Alvarez, J. M.},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2026},
     month = jun,
   }

4. CVPR

   Mitigating Multimodal Hallucinations via Gradient-based Self-Reflection

   S. Wang, M. Shen, N. Chang, C. Nguyen, H. Li, and J. M. Alvarez

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2026

   Paper Bib Website

   @inproceedings{wang2026hallucinations,
     title = {Mitigating Multimodal Hallucinations via Gradient-based Self-Reflection},
     author = {Wang, S. and Shen, M. and Chang, N. and Nguyen, C. and Li, H. and Alvarez, J. M.},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2026},
     month = jun,
   }

5. WACV

   GHOST: Getting to the Bottom of Hallucinations with a Multi-round Consistency Benchmark

   V. VS, N. Chang, J. Schmalfuss, V. M. Patel, Z. Yu, and J. M. Alvarez

   In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan 2026

   Bib Paper

   @inproceedings{vs2026ghost,
     title = {GHOST: Getting to the Bottom of Hallucinations with a Multi-round Consistency Benchmark},
     author = {VS, V. and Chang, N. and Schmalfuss, J. and Patel, V. M. and Yu, Z. and Alvarez, J. M.},
     booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
     year = {2026},
     month = jan,
   }

2025

1. CVPR

   OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning

   S. Wang, Z. Yu, X. Jiang, S. Lan, M. Shi, N. Chang, J. Kautz, Y. Li, and J. M. Alvarez

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2025

   Paper Bib

   @inproceedings{wang2025omnidrive,
     title = {OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning},
     author = {Wang, S. and Yu, Z. and Jiang, X. and Lan, S. and Shi, M. and Chang, N. and Kautz, J. and Li, Y. and Alvarez, J. M.},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2025},
     month = jun,
   }

2. CVPR

   PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models

   J. Schmalfuss, N. Chang, V. VS, M. Shen, A. Bruhn, and J. M. Alvarez

   In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2025

   Paper Bib

   @inproceedings{schmalfuss2025parc,
     title = {PARC: A Quantitative Framework Uncovering the Symmetries within Vision Language Models},
     author = {Schmalfuss, J. and Chang, N. and VS, V. and Shen, M. and Bruhn, A. and Alvarez, J. M.},
     booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2025},
     month = jun,
   }

3. KDD

   SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation

   M. Shen, N. Chang, S. Liu, and J. M. Alvarez

   In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Aug 2025

   Paper Bib

   @inproceedings{shen2025sse,
     title = {SSE: Multimodal Semantic Data Selection and Enrichment for Industrial-scale Data Assimilation},
     author = {Shen, M. and Chang, N. and Liu, S. and Alvarez, J. M.},
     booktitle = {ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
     year = {2025},
     month = aug,
   }

4. arXiv

   Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

   Z. Li, G. Chen, S. Liu, S. Wang, V. VS, Y. Ji, S. Lan, H. Zhang, Y. Zhao, S. Radhakrishnan, N. Chang, K. Sapra, A. S. Deshmukh, T. Rintamaki, M. Le, I. Karmanov, L. Voegtle, P. Fischer, D.-A. Huang, T. Roman, T. Lu, J. M. Alvarez, B. Catanzaro, J. Kautz, A. Tao, G. Liu, and Z. Yu

   arXiv preprint arXiv:2501.14818, Jan 2025

   Paper Bib

   @article{li2025eagle2,
     title = {Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models},
     author = {Li, Z. and Chen, G. and Liu, S. and Wang, S. and VS, V. and Ji, Y. and Lan, S. and Zhang, H. and Zhao, Y. and Radhakrishnan, S. and Chang, N. and Sapra, K. and Deshmukh, A. S. and Rintamaki, T. and Le, M. and Karmanov, I. and Voegtle, L. and Fischer, P. and Huang, D.-A. and Roman, T. and Lu, T. and Alvarez, J. M. and Catanzaro, B. and Kautz, J. and Tao, A. and Liu, G. and Yu, Z.},
     journal = {arXiv preprint arXiv:2501.14818},
     year = {2025},
     month = jan,
   }