
Postdoctoral Researcher · University of Tübingen
Yong Cao(曹 勇)
Autonomous Vision Group @ University of Tübingen
yongcao2018 (at) gmail.com

About
I’m a postdoctoral researcher in the Autonomous Vision Group at the University of Tübingen, working with Prof. Andreas Geiger. I received my Ph.D. from Huazhong University of Science and Technology in 2024, advised by Prof. Min Chen, and spent 2022–2024 as a visiting Ph.D. student at the University of Copenhagen with Daniel Hershcovich. Before that, I studied Telecommunication Engineering at Sichuan University.
My research centers on AI for Science — multimodal understanding of scientific documents, scientific impact prediction, and agents that help researchers ideate and write. I’m equally interested in culture in large language models: how well LLMs reflect the values and knowledge of different societies, and how to adapt them across cultures. Recently, I’ve also been exploring human motion understanding with vision-language models.
News
- 2026-07
We are organizing the first AIASci workshop — End-to-End Research Workflow, Methods, and Applications for AI-Assisted Science — @ AIAS 2026.
- 2026-06
Thrilled to receive the Distinguished Service Award at the C3NLP Workshop @ ACL 2026.
- 2026-06
Two papers, NextMotionQA and ChinaHeritaQA, are on arXiv.
- 2026-05
Our survey Transforming Science with Large Language Models is accepted to ACM Computing Surveys.
- 2026-02
FrankenMotion is accepted to CVPR 2026.
- 2026-01
Position paper Embracing Open-Endedness is accepted to EACL 2026 main (oral).
- 2025-12
Our tutorial AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation is accepted to EACL 2026, with Yufang Hou, Steffen Eger, Anne Lauscher and Wei Zhao.
- 2025-10
We are organizing the fourth C3NLP Workshop co-located with ACL 2026.
- 2025-08
Beyond Demographics is accepted to EMNLP 2025 main; MDPO is on arXiv.
- 2025-07
Tutorial on AI4Science at the IT:U Summer School.
- 2025-06
Serving as Area Chair for EMNLP 2025; joined WDMD 2025 to discuss the reliability of LLMs.
- 2025-05
One paper accepted to ACL 2025 main and Scholar Inbox to ACL 2025 demo.
Publications
Full list on Google ScholarOral = oral presentation · Supervised = student project I co-supervised


NextMotionQA: Benchmarking and Judging Human Motion Understanding with Vision-Language Models

PAMI: Part Anchored Motion for Text to Human-Object Interaction Generation



UniComp: A Unified Evaluation of Large Language Model Compression via Pruning, Quantization and Distillation

HorizonBench: Evaluating Ideation Agents on Future Scientific Discoveries



Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations

Scholar Inbox: Personalized Paper Recommendations for Scientists

ChatSOP: An SOP-Guided MCTS Planning Framework for Controllable LLM Dialogue Agents

Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge

Beyond Demographics: Enhancing Cultural Value Survey Simulation with Multi-Stage Personality-Driven Cognitive Reasoning

Towards Realistic Evaluation of Cultural Value Alignment in Large Language Models: Diversity Enhancement for Survey Response Simulation

MDPO: Overcoming the Training-Inference Divide of Masked Diffusion Language Models

Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking


Bridging Cultural Nuances in Dialogue Agents through Cultural Value Surveys



Vision-Language Models under Cultural and Inclusive Considerations

Exploring Visual Culture Awareness in GPT-4V: A Comprehensive Probing

Pay More Attention to Relation Exploration for Knowledge Base Question Answering

Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study

Cross-cultural Transfer Learning for Chinese Offensive Language Detection

Edge AiBench: Scenario-Based AI Benchmarking for Cloud/Edge/Device Computing

Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation

Generative Adversarial Network Based Abnormal Behavior Detection in Massive Crowd Videos: A Hajj Case Study

CreativeBioMan: Brain and Body Wearable Computing based Creative Gaming System

AI Agent in Software-defined Network: Agent-based Network Service Prediction and Wireless Resource Scheduling Optimization


Talks & Teaching
Invited talks & tutorials
- 2026-03
AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationEACL 2026 Tutorial, Rabat, MoroccoWebsite
- 2025-07
AI-Supported Literature SearchIT:U Summer School Tutorial, Linz, AustriaSlides
- 2025-06
Cultural Reliability of LLMs: Can AI Truly Reflect Global Perspectives?WDMD Workshop @ DSN 2025, Naples, Italy
- 2024-09
Cultural Considerations in NLPXiaomi (online)Slides
- 2024-03
Cultural Considerations in Large Language ModelsMax Planck Institute for Human Development, Berlin
- 2024-02
Cultural Considerations in Dialogue SystemsPhilipps-University MarburgSlides
- 2023-10
Teaching
- 2026 WSDeep Learning (course, TA), University of Tübingen
- 2025 WSSeminar: LLM Research Assistants, University of Tübingen
- 2025 WSBachelor Team Project, University of Tübingen
- 2025-07AI for Science (tutorial), IT:U Summer School, Linz
- 2019Big Data and Internet of Things, co-lecturer with Prof. Min Chen, HUST
Service
- Area Chair
- ACL 2025, EMNLP 2025, ACL ARR
- Co-Organizer
- C3NLP @ ACL 2024 / NAACL 2025 / ACL 2026, AIASci @ AIAS 2026
- Program Committee
- AAAI, EACL, ACL ARR, CoLM, NeurIPS, ICLR, CVPR
- Media
- Our ChatGPT cultural-alignment study was covered by Politiken, Børsen, Ekstra Bladet, P1 Morgen, TV 2 (Denmark) and Science et Avenir (France).
Background
Education & experience
- 2024 – nowPostdoctoral Researcher, University of Tübingenwith Prof. Andreas Geiger
- 2022 – 2024Visiting Ph.D. Student, University of Copenhagenwith Prof. Daniel Hershcovich
- 2022Research Intern, Alibaba DAMO AcademyNLP group · semantic similarity & re-ranking
- 2021 – 2022Research Intern, XiaomiKnowledge graph QA
- 2021Research Intern, DeepwisdomAutoML for sequence tagging
- 2020Visiting Student, CUHK-Shenzhenwith Prof. Kai Hwang
- 2018 – 2024Ph.D. in Computer Science, Huazhong University of Science and Technologywith Prof. [Min Chen](https://people.ece.ubc.ca/~minchen/)
- 2014 – 2018B.E. in Telecommunication Engineering, Sichuan University
Honors & awards
- 2026 Distinguished Service Award, C3NLP @ ACL
- 2025 DDSA Visiting Grant, Denmark
- 2023 DAAD AInet Fellow on Human-centered AI
- 2023 Outstanding PhD Scholarship, HUST
- 2021 International Youth Talent Fund, Zhejiang Lab
- 2016, 2017 National Scholarship