Welcome!

Postdoctoral Researcher · University of Tübingen

Yong Cao(曹 勇)

Autonomous Vision Group @ University of Tübingen

yongcao2018 (at) gmail.com

AI for ScienceLLM Post-trainingMultimodalCulture & LLMsLLMs for Social Science
Portrait of Yong Cao

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

Publications

Full list on Google Scholar

Oral = oral presentation · Supervised = student project I co-supervised

2026
LLM4Impact: Integrating Heterogeneous Information for Scientific Impact Prediction

LLM4Impact: Integrating Heterogeneous Information for Scientific Impact Prediction

arXiv 2026 First author

Yong Cao, Markus Flicke, Haoyu He, Katrin Renz, Andreas Geiger

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

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

arXiv 2026 First author

Chuqiao Li, Xianghui Xie, Yong Cao, Andreas Geiger, Gerard Pons-Moll

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

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

EMNLP 2026 (main) 2026 Supervised

Jonathan von Rad, Yong Cao, Andreas Geiger

HorizonBench: Evaluating Ideation Agents on Future Scientific Discoveries

HorizonBench: Evaluating Ideation Agents on Future Scientific Discoveries

AACL 2026 Supervised

Markus Flicke, Haoyu He, Kashyap Chitta, Yong Cao, Andreas Geiger

2025
Specializing Large Language Models to Simulate Survey Response Distributions for Global Populations

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

NAACL 2025 Oral First author

Yong Cao, Haijiang Liu, Arnav Arora, Isabelle Augenstein, Paul Röttger, Daniel Hershcovich

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

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

ACL 2025

Zhigen Li, Jianxiang Peng, Yanmeng Wang, Yong Cao, Tianhao Shen, Minghui Zhang, Linxi Su, Shang Wu, Yihang Wu, YuQian Wang, Ye Wang, Wei Hu, Jianfeng Li, Shaojun Wang, Jing Xiao, Deyi Xiong

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

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

NAACL 2025

Li Zhou, Taelin Karidi, Wanlong Liu, Nicolas Garneau, Yong Cao, Wenyu Chen, Haizhou Li, Daniel Hershcovich

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

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

EMNLP 2025

Haijiang Liu, Qiyuan Li, Chao Gao, Yong Cao, Xiangyu Xu, Xun Wu, Daniel Hershcovich, Jinguang Gu

2024
Cultural Adaptation of Recipes

Cultural Adaptation of Recipes

TACL 2024 Oral First author

Yong Cao, Yova Kementchedjhieva, Ruixiang Cui, Antonia Karamolegkou, Li Zhou, Megan Dare, Lucia Donatelli, Daniel Hershcovich

Vision-Language Models under Cultural and Inclusive Considerations

Vision-Language Models under Cultural and Inclusive Considerations

HuCLLM Workshop @ ACL 2024

Antonia Karamolegkou, Phillip Rust, Yong Cao, Ruixiang Cui, Anders Søgaard, Daniel Hershcovich

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

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

arXiv 2024 First author

Yong Cao, Wenyan Li, Jiaang Li, Yifei Yuan, Daniel Hershcovich

2023
Edge AiBench: Scenario-Based AI Benchmarking for Cloud/Edge/Device Computing

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

IEEE Transactions on Computers 2023

Tianshu Hao, Jianfeng Zhan, Kai Hwang, Yong Cao

2022
Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation

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

NAACL (Findings) 2022 First author

Yong Cao, Wei Li, Xianzhi Li, Min Chen, Guangyong Chen, Long Hu, Zhengdao Li, Kai Hwang

2021
2020
2019

Talks & Teaching

Invited talks & tutorials

  • 2026-03
    AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation
    EACL 2026 Tutorial, Rabat, MoroccoWebsite
  • 2025-07
    AI-Supported Literature Search
    IT: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 NLP
    Xiaomi (online)Slides
  • 2024-03
    Cultural Considerations in Large Language Models
    Max Planck Institute for Human Development, Berlin
  • 2024-02
    Cultural Considerations in Dialogue Systems
    Philipps-University MarburgSlides
  • 2023-10
    Cultural Adaptation of Large Language Models
    DIKU Bits, University of CopenhagenAbstractSlides

Teaching

  • 2026 WS
    Deep Learning (course, TA), University of Tübingen
  • 2025 WS
    Seminar: LLM Research Assistants, University of Tübingen
  • 2025 WS
    Bachelor Team Project, University of Tübingen
  • 2025-07
    AI for Science (tutorial), IT:U Summer School, Linz
  • 2019
    Big 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 – now
    Postdoctoral Researcher, University of Tübingen
    with Prof. Andreas Geiger
  • 2022 – 2024
    Visiting Ph.D. Student, University of Copenhagen
    with Prof. Daniel Hershcovich
  • 2022
    Research Intern, Alibaba DAMO Academy
    NLP group · semantic similarity & re-ranking
  • 2021 – 2022
    Research Intern, Xiaomi
    Knowledge graph QA
  • 2021
    Research Intern, Deepwisdom
    AutoML for sequence tagging
  • 2020
    Visiting Student, CUHK-Shenzhen
    with Prof. Kai Hwang
  • 2018 – 2024
    Ph.D. in Computer Science, Huazhong University of Science and Technology
    with Prof. [Min Chen](https://people.ece.ubc.ca/~minchen/)
  • 2014 – 2018
    B.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