Chao Wen

文 超

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Campus E1 5

66123 Saarbrücken, Germany

My name is Chao Wen. I’m a PhD student at the Max Planck Institute for Software Systems (MPI-SWS). I am advised by Dr. Adish Singla in the Machine Teaching Group. Before joining MPI-SWS, I was a research intern and later a full-time algorithm engineer at Alibaba.

My research interests include:

  • Generative AI for Creativity: Understanding and improving creativity in generative models. This includes (1) making generative models more creative, and (2) designing human–AI collaboration methods where generative models enhances human creativity.

  • Generative AI for Content Creation: Developing interactive AI systems that enhance the Human-AI co-creation process. This includes exploring agentic systems to improve creativity across diverse content generation tasks.

I am also more broadly interested in program synthesis, large models, reinforcement learning (RL), and multi-agent systems, and I am always open to exploring new research directions and applications.

In my free time, I enjoy a variety of sports and outdoor activities. I’m particularly fond of swimming, football, tennis, table tennis, and hiking. When I’m not in the lab, you might find me exploring hiking trails around Saarbrücken:)

news

Sep 30, 2026 We won the Best Poster/Demo Award at HCOMP 2026! Check out the full paper here.
Sep 25, 2026 Our paper on collective diversity in human–AI co-creation was accepted to NeurIPS 2026!
Sep 16, 2026 We will present our poster paper at HCOMP 2026.
Sep 07, 2026 We wrote an overview article on Human-AI Co-Creativity.
Jul 09, 2026 We are co-organizing the workshop Human-AI Co-Creativity at ICML’26. Look forward to seeing you in Seoul!

selected publications

  1. HCOMP Poster
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    Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Models
    Chao Wen, Tung Phung, Pronita Mehrotra, Sumit Gulwani, and 3 more authors
    In Conference on Human-AI Complementarity and Alignment (HCOMP), Posters and Demos Track, 2026
    Best Poster/Demo Award
  2. ACL Findings
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    TURTLEAI: Benchmarking Multimodal Models for Visual Programming in Turtle Graphics
    Chao Wen, Jacqueline Staub, and Adish Singla
    In Findings of the Association for Computational Linguistics: ACL 2026, 2026
  3. ACL
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