Rose E. Wang

According to our database, Rose E. Wang authored at least 26 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Edu-ConvoKit: An Open-Source Library for Education Conversation Data.

Rose E. Wang, Dorottya Demszky

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024

Scaling High-Leverage Curriculum Scaffolding in Middle-School Mathematics.

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

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 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

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Leveraging Large Language Models for Next-Generation Educational Technologies.

Neil T. Heffernan, Rose E. Wang, Christopher MacLellan, Arto Hellas, Chenglu Li, Candace Walkington, Joshua Littenberg-Tobias, David Joyner, Steven Moore, Adish Singla, Zach A. Pardos, Maciej Pankiewicz, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden

Proceedings of the 17th International Conference on Educational Data Mining, 2024

Backtracing: Retrieving the Cause of the Query.

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

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Evaluating Human-Language Model Interaction.

Mina Lee, 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, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang

Trans. Mach. Learn. Res., 2023

Step-by-Step Remediation of Students' Mathematical Mistakes.

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

CoRR, 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

"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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts.

Rose E. Wang, Pawan Wirawarn, Noah D. Goodman, Dorottya Demszky

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

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

Rose E. Wang, Dorottya Demszky

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

2022

Know Thy Student: Interactive Learning with Gaussian Processes.

Rose E. Wang, Mike Wu, Noah D. Goodman

CoRR, 2022

ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Language modeling via stochastic processes.

Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Proceedings of the Human-Like Machine Intelligence., 2022

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

Calibrate your listeners! Robust communication-based training for pragmatic speakers.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation.

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

CoRR, 2020

R-MADDPG for Partially Observable Environments and Limited Communication.

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

CoRR, 2020

Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous.

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

Proceedings of the 4th Conference on Robot Learning, 2020

Too many cooks: Coordinating multi-agent collaboration through inverse planning.

Sarah A. Wu, Rose E. Wang, James A. Evans, Josh Tenenbaum, David C. Parkes, Max Kleiman-Weiner

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020