Tongshuang Wu

Venues

Frequent coauthors

Papers

1. Behavioral Indicators of Overreliance During Interaction with Conversational Language Models
   CHI 2026 ·

   Chang Liu

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2. Evidotes: Integrating Scientific Evidence and Anecdotes to Support Uncertainties Triggered by Peer Health Posts
   CHI 2026 ·

   Shreya Bali

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3. From Human-Human Collaboration to Human-Agent Collaboration: A Vision, Design Philosophy, and an Empirical Framework for Achieving Successful Partnerships Between Humans and LLM Agents
   CHI 2026 ·

   Bingsheng Yao

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4. Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science
   CHI 2026 ·

   Qianou Ma

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5. RECAP: An End-to-End Platform for Capturing, Replaying, and Analyzing AI-Assisted Programming Interactions
   ACL 2026 ·

   Keyu He

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6. Scaling Collaborative Effort with Agents
   ACL 2026 ·

   Shannon Zejiang Shen

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7. What Prompts Don't Say: Understanding and Managing Underspecification in LLM Prompts
   ACL 2026 ·

   Chenyang Yang

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8. Bidirectional Human-AI Alignment: Emerging Challenges and Opportunities
   CHI 2025 ·

   Hua Shen

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9. Checklists Are Better Than Reward Models For Aligning Language Models
   NeurIPS 2025 ·

   Vijay Viswanathan

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10. Evaluating Mathematical Reasoning Beyond Accuracy
    AAAI 2025 ·

    Shijie Xia

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11. How to Teach Programming in the AI Era? Using LLMs as a Teachable Agent for Debugging (Extended Abstract)
    IJCAI 2025 ·

    Qianou Ma

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12. Human Subjects Research in the Age of Generative AI: Opportunities and Challenges of Applying LLM-Simulated Data to HCI Studies
    CHI 2025 ·

    Angel Hsing-Chi Hwang

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13. Human-AI Collaboration: How AIs Augment Human Teammates
    ACL 2025 · Sherry Wu
14. LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs
    CHI 2025 · Tongshuang Wu
15. MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers
    EMNLP 2025 ·

    Jushaan Singh Kalra

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16. Orbit: A Framework for Designing and Evaluating Multi-objective Rankers
    IUI 2025 ·

    Chenyang Yang

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17. SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation
    NAACL 2025 ·

    Xuhui Zhou

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18. SPHERE: An Evaluation Card for Human-AI Systems
    ACL 2025 ·

    Dora Zhao

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19. cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree
    EMNLP 2025 ·

    Yilin Zhang

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20. Better Synthetic Data by Retrieving and Transforming Existing Datasets
    ACL 2024 ·

    Saumya Gandhi

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21. Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
    ACL 2024 ·

    Xinran Zhao

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22. Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong
    NAACL 2024 ·

    Chenglei Si

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23. Selenite: Scaffolding Online Sensemaking with Comprehensive Overviews Elicited from Large Language Models
    CHI 2024 ·

    Michael Xieyang Liu

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24. Synthetic Multimodal Question Generation
    EMNLP 2024 ·

    Ian Wu

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25. Trust and Reliance in Evolving Human-AI Workflows (TREW)
    CHI 2024 ·

    Zahra Ashktorab

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26. Wikibench: Community-Driven Data Curation for AI Evaluation on Wikipedia
    CHI 2024 ·

    Tzu-Sheng Kuo

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