Too many cooks: Coordinating multi-agent collaboration through inverse planning. - Sarah A. Wu; Rose E. Wang; James A. Evans; Josh Tenenbaum 001; David C. Parkes; Max Kleiman-Weiner (CogSci, 2020)

Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous. - Rose E. Wang; J. Chase Kew; Dennis Lee 003; Tsang-Wei Edward Lee; Tingnan Zhang; Brian Ichter; Jie Tan 001; Aleksandra Faust (CoRL, 2020)

R-MADDPG for Partially Observable Environments and Limited Communication. - Rose E. Wang; Michael Everett; Jonathan P. How (CoRR, 2020)

Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation. - Rose E. Wang; J. Chase Kew; Dennis Lee 003; Tsang-Wei Edward Lee; Tingnan Zhang; Brian Ichter; Jie Tan 001; Aleksandra Faust (CoRR, 2020)

Calibrate your listeners! Robust communication-based training for pragmatic speakers. - Rose E. Wang; Julia White 001; Jesse Mu; Noah D. Goodman (EMNLP (Findings), 2021)

Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration. - Sarah A. Wu; Rose E. Wang; James A. Evans; Joshua B. Tenenbaum; David C. Parkes; Max Kleiman-Weiner (Top. Cogn. Sci., 2021)

Too Many cooks: Bayesian inference for coordinating Multi-agent Collaboration. - Rose E. Wang; Sarah A. Wu; James A. Evans; David C. Parkes; Joshua B. Tenenbaum; Max Kleiman-Weiner (Human-Like Machine Intelligence, 2022)

Language modeling via stochastic processes. - Rose E. Wang; Esin Durmus; Noah D. Goodman; Tatsunori Hashimoto (ICLR, 2022)

ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. - Zixian Ma; Rose E. Wang; Fei-Fei Li 001; Michael S. Bernstein; Ranjay Krishna (NeurIPS, 2022)

Know Thy Student: Interactive Learning with Gaussian Processes. - Rose E. Wang; Mike Wu; Noah D. Goodman (CoRR, 2022)

Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction. - Rose E. Wang; Dorottya Demszky (BEA@ACL, 2023)

SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts. - Rose E. Wang; Pawan Wirawarn; Noah D. Goodman; Dorottya Demszky (BEA@ACL, 2023)

"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms. - Kunal Handa; Margaret Clapper; Jessica Boyle; Rose E. Wang; Diyi Yang; David S. Yeager; Dorottya Demszky (EMNLP, 2023)

Solving Math Word Problems by Combining Language Models With Symbolic Solvers. - Joy He-Yueya; Gabriel Poesia; Rose E. Wang; Noah D. Goodman (CoRR, 2023)

Step-by-Step Remediation of Students' Mathematical Mistakes. - Rose E. Wang; Qingyang Zhang; Carly Robinson; Susanna Loeb; Dorottya Demszky (CoRR, 2023)

Evaluating Human-Language Model Interaction. - Mina Lee 002; Megha Srivastava; Amelia Hardy; John Thickstun; Esin Durmus; Ashwin Paranjape; Ines Gerard-Ursin; Xiang Lisa Li; Faisal Ladhak; Frieda Rong; Rose E. Wang; Minae Kwon; et al. (Trans. Mach. Learn. Res., 2023)

Backtracing: Retrieving the Cause of the Query. - Rose E. Wang; Pawan Wirawarn; Omar Khattab; Noah D. Goodman; Dorottya Demszky (EACL (Findings), 2024)

Leveraging Large Language Models for Next-Generation Educational Technologies. - Neil T. Heffernan; Rose E. Wang; Christopher MacLellan; Arto Hellas; Chenglu Li; Candace A. Walkington; Joshua Littenberg-Tobias; David Joyner; Steven Moore; Adish Singla; Zach A. Pardos; Maciej Pankiewicz; et al. (EDM, 2024)

MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula. - Li Lucy; Tal August; Rose E. Wang; Luca Soldaini; Courtney Allison; Kyle Lo (EMNLP (Findings), 2024)

Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations. - Rose E. Wang; Pawan Wirawarn; Kenny Lam; Omar Khattab; Dorottya Demszky (EMNLP (Findings), 2024)

Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform. - Dorottya Demszky; Rose E. Wang; Sean Geraghty; Carol Yu (LAK, 2024)

Scaling High-Leverage Curriculum Scaffolding in Middle-School Mathematics. - Rizwaan Malik; Dorna Abdi; Rose E. Wang; Dorottya Demszky (L@S, 2024)

Edu-ConvoKit: An Open-Source Library for Education Conversation Data. - Rose E. Wang; Dorottya Demszky (NAACL (Demonstrations), 2024)

Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes. - Rose E. Wang; Qingyang Zhang; Carly Robinson; Susanna Loeb; Dorottya Demszky (NAACL-HLT, 2024)

Evaluating Language Model Math Reasoning via Grounding in Educational Curricula. - Li Lucy; Tal August; Rose E. Wang; Luca Soldaini; Courtney Allison; Kyle Lo (CoRR, 2024)

Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise. - Rose E. Wang; Ana T. Ribeiro; Carly Robinson; Susanna Loeb; Dora Demszky (CoRR, 2024)

Educator Attention: How computational tools can systematically identify the distribution of a key resource for students. - Qingyang Zhang; Rose E. Wang; Ana T. Ribeiro; Dora Demszky; Susanna Loeb (CoRR, 2025)

Scaffolding middle school mathematics curricula with large language models. - Rizwaan Malik; Dorna Abdi; Rose E. Wang; Dorottya Demszky (Br. J. Educ. Technol., 2025)