Hi! My name is Jing Ding (丁婧 in Chinese). I’m a junior majoring in Data Science at the University of Michigan, currently part of the SLED lab. I recently embarked on my research journey, diving into vision-language models and pragmatic generation—how AI can communicate as naturally and effectively as humans. Before coming to Michigan, I studied at Huazhong University of Science and Technology.
Always excited to connect, collaborate, and share ideas—feel free to reach out!
🔥 News
- 2025.06: Our paper “Vision-Language Models Are Not Pragmatically Competent in Referring Expression Generation” was accepted to GEM@ACL 2025 and selected as a Spotlight at CVinW@CVPR 2025! See you in Nashville!
- 2025.05: Heading to NAACL 2025 — hope to see you there!
- 2025.04: Glad to presented at the first CSE Undergraduate Research Symposium!
- 2025.04: 🎉🎉 Our work “Vision-Language Models Are Not Pragmatically Competent in Referring Expression Generation” is on arXiv!
📝 Publications
Vision-Language Models Are Not Pragmatically Competent in Referring Expression Generation
GEM@ACL 2025; Spotlight at CVinW@CVPR 2025
Ziqiao Ma*, Jing Ding*, Xuejun Zhang, Dezhi Luo, Jiahe Ding, Sihan Xu, Yuchen Huang, Run Peng, Joyce Chai
Paper | Homepage | Code | Dataset
TL;DR: We show significant pragmatic deficiencies in current VLMs when faced with referring expression generation compared to humans, as they violate Gricean maxims.
📖 Educations
- 2025.01 - 2026.12 (now), Data Science, LSA, University of Michigan, Ann Arbor
- 2022.09 - 2024.06, Electronic Information and Engineering, School of Electronic Information and Communications, Huazhong University of Science and Technology
💻 Internships
- 2024.07 - 2024.08, iSURE Program, University of Notre Dame, USA
🌎 Visitor Map
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