研究

预印本与投稿中

• In Submission
  Impact of Expertise and Trust on AI-Assisted Work
  Qianou Ma, Pranav Khape, Rock Pang, Ken Koedinger, Tongshuang Wu, Siddarth Suri, and Shamsi Iqbal
  Manuscript under review, 2026.
  arXiv
• In Submission
  The Work Behind Delegation: A Framework for Supervising AI Coding Agents
  Yeon Su Park, Nadia Arvi, Hae Ri Lee, Sehoon Lim, Qianou Ma†, and Juho Kim
  Manuscript under review, 2026.
  arXiv
• In Submission
  Efficient Test-Time Adaptation through Human-AI Interaction
  Zora Zhiruo Wang, Apurva Gandhi, Rulin Shao, Aspen Chen, Jonas Mueller, Zhiqi Liang, Jett Chen, Michael Ryan, Qianou Ma, Luxi He, Zhoujun Cheng, Andre He, Seungone Kim, Jiayi Geng, Mingqian Zheng, Weiwei Sun, Zheyuan Zhang, Xinran Zhao, Yike Wang, Abe Hou, Liwei Jiang, Pang Wei Koh, Diyi Yang, Graham Neubig, and Daniel Fried
  Manuscript under review, 2026. Accepted to the NeurIPS 2026 Workshop on Towards Test-Time Continual Learning Agents.
  arXiv
• In Submission
  Reinforcing Human Behavior Simulation via Verbal Feedback
  Weiwei Sun, Xuhui Zhou, Jiarui Liu, Weihua Du, Haojia Sun, Yiqing Xie, Qianou Ma, Sihao Chen, Mengting Wan, Longqi Yang, Pei Zhou, Sherry Tongshuang Wu, Sean Welleck, Graham Neubig, Yiming Yang, and Maarten Sap
  Manuscript under review, 2026.
  arXiv

会议与期刊论文

• NeurIPS '26
  OdysSim: Building Foundation Models for Human Behavior Simulation
  Xuhui Zhou*, Weiwei Sun*, Weihua Du, Jiarui Liu, Haojia Sun, Qianou Ma, Tongshuang Wu, Yiming Yang, and Maarten Sap
  Conference on Neural Information Processing Systems (NeurIPS), to appear, 2026. *Equal contribution.
  arXivCode
• COLM '26
  Mind the Sim2Real Gap in User Simulation for Agentic Tasks
  Xuhui Zhou*, Weiwei Sun*, Qianou Ma, Yiqing Xie, Jiarui Liu, Weihua Du, Sean Welleck, Yiming Yang, Graham Neubig, Sherry Tongshuang Wu, and Maarten Sap
  Conference on Language Modeling (COLM), to appear, 2026. *Equal contribution.
  arXiv
• AIED '26
  “GenAI Defaults to Bias!” Gamify AI Literacy through Reflections on Prompts
  Qianou Ma, Megan Chai, Yike Tan, Jihun Choi, Jini Kim, Erik Harpstead, Geoff Kauffman, and Tongshuang Wu
  International Conference on Artificial Intelligence in Education (AIED), 2026.
  PaperarXivCodeDemo
• ACL Demo '26
  RECAP: An End-to-End Platform for Capturing, Replaying, and Analyzing AI-Assisted Programming Interactions
  Keyu He*, Qianou Ma*†, Valerie Chen, Wayne Chi, and Tongshuang Wu
  Annual Meeting of the Association for Computational Linguistics (ACL): System Demonstrations, 2026. *Equal contribution.
  PaperarXivCodeDemoWebsite
• CHI '26
  Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science
  Qianou Ma, Ken Koedinger, and Tongshuang Wu
  ACM CHI Conference on Human Factors in Computing Systems (CHI), 2026.
  PaperarXivCode
• ACL Findings '26
  What Prompts Don’t Say: Understanding and Managing Underspecification in LLM Prompts
  Chenyang Yang, Yike Shi, Qianou Ma, Michael Xieyang Liu, Christian Kästner, and Tongshuang Wu
  Findings of the Association for Computational Linguistics (ACL Findings), 2026.
  PaperarXivCode
• TOCHI '25
  What Should We Engineer in Prompts? Training Humans in Requirement-Driven LLM Use
  Qianou Ma, Weirui Peng, Chenyang Yang, Hua Shen, Kenneth Koedinger, and Tongshuang Wu
  ACM Transactions on Computer-Human Interaction (TOCHI), 2025. Presented at CHI '26.
  PaperarXivCodeDemo媒体报道: SCS News, The New York Times
• ACL Findings '25
  SPHERE: An Evaluation Card for Human-AI Systems
  Dora Zhao*, Qianou Ma*, Xinran Zhao, Chenglei Si, Chenyang Yang, Ryan Louie, Ehud Reiter, Diyi Yang, and Tongshuang Wu
  Findings of the Association for Computational Linguistics (ACL Findings), 2025. *Co-first authors.
  PaperarXivWebsite媒体报道: MIT Media Lab, Building Humane Technology
• AIED '24🏆 Best Paper🏆 Best Interactive Event
  How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging
  Qianou Ma, Hua Shen, Kenneth Koedinger, and Tongshuang Wu
  International Conference on Artificial Intelligence in Education (AIED), 2024. Invited presentations at IJCAI '25 and CSCL '25.
  PaperarXivCodeDemo媒体报道: The Link, The New York Times
• AIED '24🏆 Best Paper Nominee
  Generating Situated Reflection Triggers About Alternative Solution Paths: A Case Study in Generative AI for Computer-Supported Collaborative Learning
  Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma†, Sherry Tongshuang Wu, Charles Murray, Christopher Bogart, Majd Sakr, and Carolyn P. Rosé
  International Conference on Artificial Intelligence in Education (AIED), 2024.
  PaperarXiv
• BJET '24
  Providing Tailored Reflection Instructions in Collaborative Learning Using Large Language Models
  Atharva Naik, Jessica Ruhan Yin, Anusha Kamath, Qianou Ma†, Sherry Tongshuang Wu, R. Charles Murray, Christopher Bogart, Majd Sakr, and Carolyn P. Rosé
  British Journal of Educational Technology (BJET), 2024.
  Paper

研讨会、海报与博士生论坛

• CHI '26 DC
  Training for the Future: Preparing Humans for Effective Human–AI Programming
  Qianou Ma
  CHI EA '26: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (Doctoral Consortium), 2026.
  Paper
• AIED '26 DC
  What Calculus Should We Teach in the Age of AI? Identifying and Improving Higher-Order Thinking in College Math
  Qianou Ma, Sherry Tongshuang Wu, and Kenneth R. Koedinger
  Artificial Intelligence in Education (AIED) Doctoral Consortium, 2026.
  Paper
• AIED '26 Workshop
  AI Literacy For All: 2nd International Workshop on AI Literacy Education For All
  Ruiwei Xiao, Shan Zhang, Xinying Hou, Ying-Jui Tseng, Qianou Ma, Yash Tadimalla, Qing Xiao, Jionghao Lin, Bo Jiang, John Stamper, and Kenneth R. Koedinger
  Artificial Intelligence in Education (AIED) Workshops, 2026.
  WebsitePaper
• CHI EA '25
  ImaginAItion: Promoting Generative AI Literacy Through Game-Based Learning
  Qianou Ma†, Anika Jain*, Jini Kim*, Megan Chai*, and Geoff Kauffman
  CHI EA '25: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025. *Equal contribution.
  Paper
• SIGCSE '24
  Enhancing Code Tracing Question Generation with Refined Prompts in Large Language Models
  Aysa Xuemo Fan, Rully Agus Hendrawan, Yang Shi, and Qianou Ma†
  ACM Technical Symposium on Computer Science Education (SIGCSE TS), 2024.
  Paper
• NeurIPS '23 Workshop
  AI-TA: Towards an Intelligent Question-Answer Teaching Assistant using Open-Source LLMs
  Yann Hicke*, Anmol Agarwal*, Qianou Ma*†, and Paul Denny
  Workshop on Generative AI for Education (GAIED) @ NeurIPS, 2023. *Equal contribution.
  arXiv
• AIED '23 Workshop
  Is AI the Better Programming Partner? Human-Human Pair Programming vs. Human-AI pAIr Programming
  Qianou Ma, Tongshuang Wu, and Kenneth Koedinger
  Workshop on Empowering Education with LLMs @ AIED, 2023. Presented at ICER '23.
  PaperarXiv