Tongshuang Wu
Daniel P. Siewiorek Assistant Professor of Human-Computer Interaction
Studies human-AI collaboration, including interactive tools for evaluating and debugging language models.
Tongshuang Wu's lab at CMU works on human-AI collaboration & trust, interfaces & interaction techniques and large language models. 77 papers since 2023, 31 at top venues, mostly CHI and Findings of ACL. 6 PhD students and 2 master's students. 8 alumni, most often to Meta. Applications close .
At a glance
- papers, 2023–2026
- 20/ year
- at T1 venues
- 40%
- PhD students
- 6
- MS students
- 2
- alumni listed
- 8
Papers by yearfrom the lab homepage, 2023–2026
- 25 papers2026 · T1 13 · collecting
- 13 papers2025 · T1 4
- 24 papers2024 · T1 9
- 15 papers2023 · T1 5
T1 venuesOtherVenues: CHI, Findings of ACL, Findings of EMNLP, EMNLP, ICLR
Research focuspaper titles that use each topic's words
- Large language models32 papers
- Human-AI collaboration & trust11 papers
- Interfaces & interaction techniques2 papers
- debugging1 paper
- interactive tools0 papers
Paper list
From the lab homepage.
202625 papers
- COLM'I didn't Make the Micro Decisions': Measuring, Inducing, and Exposing Goal-Level AI Contributions in Collaboration (opens in a new tab)
- AIED“GenAI Defaults to Bias!” Gamify AI literacy through Reflections on Prompts (opens in a new tab)
- CHI (T1)“I Don't Think RAI Applies to My Model” – Engaging Non-champions with Sticky Stories for Responsible AI Work Best Paper (opens in a new tab)
- UIST (T1)A Benchmarking Framework for Context-aware XR Interfaces (opens in a new tab)
- ICML (T1)Asking What Matters: Reward-Driven Clarification for Software Engineering Tasks (opens in a new tab)
- CHI (T1)Behavioral Indicators of Overreliance During Interaction with Conversational Language Models (opens in a new tab)
- COLMComparing Developer and LLM Biases in Code Evaluation (opens in a new tab)
- ICSE (T1)Designing Abandabot: When Does Open Source Dependency Abandonment Matter? (opens in a new tab)
- ICML (T1)DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research (opens in a new tab)
- Findings of EMNLPEmpirically Grounded Behavioral Adaptivity for LLM-Based Virtual Patients in Psychotherapy Training (opens in a new tab)
- CHI (T1)Evidotes: Integrating Scientific Evidence and Anecdotes to Support Uncertainties Triggered by Peer Health Posts (opens in a new tab)
- HCOMPExploring the Design Space of AI Simulation-Based Communication Training: A Qualitative Study of Online Peer Counselor Preferences (opens in a new tab)
202513 papers
- Findings of EMNLPcAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree (opens in a new tab)
- NeurIPS SpotlightChecklists Are Better Than Reward Models For Aligning Language Models (opens in a new tab)
- SBFTDifferential Performance Fuzzing of Configuration Options (opens in a new tab)
- AAAI (T1)Evaluating Mathematical Reasoning Beyond Accuracy (opens in a new tab)
- ICLR (T1)Improving Large Language Model Planning with Action Sequence Similarity (opens in a new tab)
- CHI Case StudyLLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs (opens in a new tab)
- EMNLP (T1)MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers (opens in a new tab)
- IUIOrbit: A Framework for Designing and Evaluating Multi-objective Rankers (opens in a new tab)
- NAACL Demo TrackSOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation (opens in a new tab)
- Findings of ACLSPHERE: An Evaluation Card for Human-AI Systems (opens in a new tab)
- CHI Tools for ThoughtSupporting AI-Augmented Meta-Decision Making with InDecision (opens in a new tab)
- COLM LM4SciThe Ramon Llull's Thinking Machine for Automated Ideation (opens in a new tab)
202424 papers
- CoLM"Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs (opens in a new tab)
- CAIN(Why) Is My Prompt Getting Worse? Rethinking Regression Testing for Evolving LLM APIs (opens in a new tab)
- Nature Machine Intelligence (T1)A Large Scale Audit of Dataset Licensing and Attribution in AI (opens in a new tab)
- ICSE (T1)A Large-Scale Survey on the Usability of AI Programming Assistants: Successes and Challenges (opens in a new tab)
- Findings of ACLBetter Synthetic Data by Retrieving and Transforming Existing Datasets (opens in a new tab)
- CoLMBeyond Relevance: Evaluate and Improve Retrievers on Perspective Awareness (opens in a new tab)
- EMNLP (T1)Dense X Retrieval: What Retrieval Granularity Should We Use? (opens in a new tab)
- TACL (T1)Do LLMs Exhibit Human-Like Response Biases? A Case Study in Survey Design (opens in a new tab)
- SIGCSEEnhancing Code Tracing Question Generation with Refined Prompts in Large Language Models (opens in a new tab)
- Findings of ACLFact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models (opens in a new tab)
- AIEDGenerating Situated Reflection Triggers About Alternative Solution Paths: A Case Study in Generative AI for Computer-Supported Collaborative Learning Best Paper Nominee (opens in a new tab)
- Findings of ACLGeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics (opens in a new tab)
202315 papers
- Findings of EMNLPBeyond Testers' Biases: Guiding Model Testing with Knowledge Bases using LLMs (opens in a new tab)
- EMNLP (T1)BiasX: "Thinking Slow" in Toxic Content Moderation with Explanations of Implied Social Biases (opens in a new tab)
- TACL (T1)Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation (opens in a new tab)
- AAAI SafeAICapabilities for Better ML Engineering (opens in a new tab)
- CSCW Demo TrackConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing Best Demo (opens in a new tab)
- ACL (T1)DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions (opens in a new tab)
- EMNLP Demo TrackFrom Nuisance to News Sense: Augmenting the News with Cross-document Evidence and Context (opens in a new tab)
- AIED2023 Empowering Education with LLMsIs AI the Better Programming Partner? Human-Human Pair Programming vs. Human-AI pAIr Programming (opens in a new tab)
- AACL ART of SafetyMeasuring Adversarial Datasets (opens in a new tab)
- NEJLTNL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation (opens in a new tab)
- CHI In2WritingParachute: Evaluating Interactive Human-LM Co-writing Systems (opens in a new tab)
- EMNLP Demo TrackPromp2Model: Generating Deployable Models from Natural Language Instructions (opens in a new tab)
Where alumni went8 listed, 100% to industry
Industry 1Academia 0
Most often to
- Meta
Apply to CMUFall 2027
CMU SCS Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL / IELTS / Duolingo (F-1/J-1 non-native speakers)
- Fee
- USD 100 (USD 80 by early deadline)
Confirmed on the program page.
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