Rose E. Wang

Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise PDF Preregistration Video Code

Rose E. Wang, Ana Ribeiro, Carly Robinson, Susanna Loeb^, Dora Demszky^

Society for Research on Educational Effectiveness (SREE 2024), UChicago Becker Friedman Institute AI for Social Science Conference 2024, American Economic Association (AEA 2024).

Featured in 2025 Economic Report of the President, MIT Technology Review, Education Week, the 74, K-12 Dive, MarkTechPost, Dan Meyer's blog, AI for Education, Stanford Accelerator for Learning.

🌁 Bridging the Novice-Expert Gap via Models of Decision-Making PDF Poster Video Code

Rose E. Wang, Qingyang Zhang, Carly Robinson, Susanna Loeb, Dora Demszky

North American Chapter of the Association for Computational Linguistics (NAACL 2024)

Invited Presentation at the National Student Support Accelerator Conference (2024).

Featured in Stanford HAI and Dan Meyer's blog

Edu-ConvoKit: An Open-Source Library for Education Conversation Data PDF Poster Video Code

Rose E. Wang, Dora Demszky

North American Chapter of the Association for Computational Linguistics (NAACL 2024)

Invited Presentation at Education Data Mining (EDM 2024) LLM for EdTech Workshop, National Tutoring Observatory, Learning Analytics Learning Network

Educator Attention: How computational tools can systematically identify the distribution of a key resource for students PDF

Qingyang Zhang*, Rose E. Wang*, Ana Ribeiro, Dora Demszky^, Susanna Loeb^

Under submission, 2025.

Productive Struggle: The Future of Human Learning in the Age of AI PDF

Rose E. Wang and Megha Srivastava.

Stanford AI Lab. Translated in Spanish and featured on the Inter-American Development Bank.

ScaffGen: Scaling High-Leverage Curriculum Scaffolding in Middle-School Mathematics PDF

Rizwaan Malik, Dorna Abdi, Rose E. Wang, Dora Demszky

British Journal of Educational Technology 2025.

Winner of 2024 Tools Competition 🏆

Featured in The Learning Agency

Backtracing: Retrieving the Cause of the Query PDF Poster Video Code

Rose E. Wang, Pawan Wirawarn, Omar Khattab, Noah Goodman, Dora Demszky

European Chapter of the Association for Computational Linguistics (EACL 2024) Long Paper Findings

Featured in Stanford HAI

Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform PDF

Dora Demszky, Rose E. Wang, Sean Geraghty, Carol Yu

Learning Analytics and Knowledge Conference (LAK '24)

Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations PDF Video Code

Rose E. Wang, Pawan Wirawarn, Kenny Lam, Omar Khattab, Dora Demszky

Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) Long Paper Findings.

Evaluating Language Model Math Reasoning via Grounding in Educational Curricula PDF Code

Li Lucy, Tal August, Rose E. Wang, Luca Soldaini, Courtney Allison, Kyle Lo

Conference on Empirical Methods in Natural Language Processing (EMNLP 2024) Long Paper Findings.

Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction PDF Video Code

Rose E. Wang, Dora Demszky

Innovative Use of NLP for Building Educational Applications (BEA 2023)

Ambassador (Best) Paper 🏆

SIGHT: A Large Dataset on Student Insights Gathered from Higher Education Transcripts PDF Video Code

Rose E. Wang*, Pawan Wirawarn*, Noah Goodman, Dora Demszky

Innovative Use of NLP for Building Educational Applications (BEA 2023)

“Mistakes Help Us Grow”: Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms PDF Code

Kunal Handa, Margaret Clapper, Jessica Boyle, Rose E. Wang, Diyi Yang, David Yeager, Dora Demszky.

Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)

Featured in Stanford HAI

Language modeling via stochastic processes PDF Video Code

Rose E. Wang, Esin Durmus, Noah Goodman, Tatsu Hashimoto

ICLR 2022

Oral Presentation (<1.6%)

Calibrate your listeners! Robust communication-based training for pragmatic speakers PDF Video Code

Rose E. Wang, Julia White, Jesse Mu, Noah Goodman

Conference on Empirical Methods in Natural Language Processing (EMNLP 2023) Findings

ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward PDF Code

Zixian Ma, Rose E. Wang, Fei-Fei Li, Michael Bernstein, Ranjay Krishna

Conference on Neural Information Processing Systems (NeurIPS 2022)

In the ZONE: Measuring difficulty and progression in curriculum generation PDF Video

Rose E. Wang, Jesse Mu, Dilip Arumugam, Natasha Jaques, Noah Goodman

NeurIPS 2022 Deep Reinforcement Learning Workshop

CLaP: Conditional Latent Planners for Offline Reinforcement Learning PDF

Harry Shin, Rose E. Wang

NeurIPS 2022 Workshop on Foundation Models for Decision Making

Speaking with confidence: Investigating the effects of uncertainty in pragmatic language learning Poster

Pawan Wirawarn, Rose E. Wang, Noah Goodman

Know Thy Student: Interactive Learning with Gaussian Processes PDF

Rose E. Wang, Mike Wu, Noah Goodman

ICLR 2022 Workshop on From Cells to Societies: Collective Learning across Scales

On the Opportunities and Risks of Foundation Models PDF

Center for Research on Foundation Models

Journal for Machine Learning Research (JMLR 2023)

Too many cooks: Bayesian inference for coordination multi-agent collaboration PDF Video Code

Rose E. Wang*, Sarah Wu*, Joshua Tenenbaum, James Evans, David Parkes, Max Kleiman-Weiner

Topics in Cognitive Science (2021); Human-Like Machine Intelligence (Oxford University Press)

Best Paper Award, CogSci 🏆; Best Paper Award, NeurIPS Cooperative AI Workshop 🏆

Model-based Reinforcement Learning for Multiagent Goal Alignment PDF Video

Rose E. Wang, Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust.

Conference on Robotic Learning (CoRL 2020)

Featured in the Google AI Year in Review 2020. Check out our blog post too!

R-MADDPG for Partially Observable Environments and Limited Communication PDF Code

Rose E. Wang, Michael Everett, Jonathan P. How

International Conference on Machine Learning (ICML 2019) RL for Real Life Workshop