Rose E. Wang

41 papers A* 3A 2B 3Misc 1Journal 22Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Educator Attention: How computational tools can systematically identify the distribution of a key resource for students.
CoRR
Qingyang Zhang, Rose E. Wang, Ana T. Ribeiro, Dora Demszky, Susanna Loeb
2025 J jnl
Scaffolding middle school mathematics curricula with large language models.
Br. J. Educ. Technol.
Rizwaan Malik, Dorna Abdi, Rose E. Wang, Dorottya Demszky
2024 — conf
Backtracing: Retrieving the Cause of the Query.
EACL (Findings)
Rose E. Wang, Pawan Wirawarn, Omar Khattab, Noah D. Goodman, Dorottya Demszky
2024 J jnl
Backtracing: Retrieving the Cause of the Query.
CoRR
Rose E. Wang, Pawan Wirawarn, Omar Khattab, Noah D. Goodman, Dorottya Demszky
2024 — conf
Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes.
NAACL-HLT
Rose E. Wang, Qingyang Zhang, Carly Robinson, Susanna Loeb, Dorottya Demszky
2024 A conf
Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform.
LAK
Dorottya Demszky, Rose E. Wang, Sean Geraghty, Carol Yu
2024 — conf
Edu-ConvoKit: An Open-Source Library for Education Conversation Data.
NAACL (Demonstrations)
Rose E. Wang, Dorottya Demszky
2024 J jnl
Edu-ConvoKit: An Open-Source Library for Education Conversation Data.
CoRR
Rose E. Wang, Dorottya Demszky
2024 J jnl
Evaluating Language Model Math Reasoning via Grounding in Educational Curricula.
CoRR
Li Lucy, Tal August, Rose E. Wang, Luca Soldaini, Courtney Allison, Kyle Lo
2024 — ed.
Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), Atlanta, Georgia, USA, July 14, 2024.
HEXED/L3MNGET@EDM
Juan D. Pinto, Eamon Worden, Anthony Botelho, Lea Cohausz, Clayton Cohn, Mingyu Feng, Neil T. Heffernan, Arto Hellas, Lan Jiang, David Joyner, Tanja Käser, Juho Kim, Andrew S. Lan, Chenglu Li, Joshua Littenberg-Tobias, Qianhui Liu, Christopher MacLellan, Steven Moore, Maciej Pankiewicz, Luc Paquette, Zach A. Pardos, Anna N. Rafferty, Adish Singla, Shashank Sonkar, Vinitra Swamy, Rose E. Wang, Candace A. Walkington
2024 B conf
Leveraging Large Language Models for Next-Generation Educational Technologies.
EDM
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, Juho Kim, Shashank Sonkar, Clayton Cohn, Anthony Botelho, Andrew S. Lan, Lan Jiang, Mingyu Feng, Tanja Käser, Eamon Worden
2024 — conf
MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula.
EMNLP (Findings)
Li Lucy, Tal August, Rose E. Wang, Luca Soldaini, Courtney Allison, Kyle Lo
2024 — conf
Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations.
EMNLP (Findings)
Rose E. Wang, Pawan Wirawarn, Kenny Lam, Omar Khattab, Dorottya Demszky
2024 J jnl
Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations.
CoRR
Rose E. Wang, Pawan Wirawarn, Kenny Lam, Omar Khattab, Dorottya Demszky
2024 B conf
Scaling High-Leverage Curriculum Scaffolding in Middle-School Mathematics.
L@S
Rizwaan Malik, Dorna Abdi, Rose E. Wang, Dorottya Demszky
2024 J jnl
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise.
CoRR
Rose E. Wang, Ana T. Ribeiro, Carly Robinson, Susanna Loeb, Dora Demszky
2023 A* conf
"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms.
EMNLP
Kunal Handa, Margaret Clapper, Jessica Boyle, Rose E. Wang, Diyi Yang, David S. Yeager, Dorottya Demszky
2023 J jnl
"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms.
CoRR
Kunal Handa, Margaret Clapper, Jessica Boyle, Rose E. Wang, Diyi Yang, David S. Yeager, Dorottya Demszky
2023 J jnl
Evaluating Human-Language Model Interaction.
Trans. Mach. Learn. Res.
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
2023 — conf
Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction.
BEA@ACL
Rose E. Wang, Dorottya Demszky
2023 J jnl
Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction.
CoRR
Rose E. Wang, Dorottya Demszky
2023 — conf
SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts.
BEA@ACL
Rose E. Wang, Pawan Wirawarn, Noah D. Goodman, Dorottya Demszky
2023 J jnl
SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts.
CoRR
Rose E. Wang, Pawan Wirawarn, Noah D. Goodman, Dorottya Demszky
2023 J jnl
Solving Math Word Problems by Combining Language Models With Symbolic Solvers.
CoRR
Joy He-Yueya, Gabriel Poesia, Rose E. Wang, Noah D. Goodman
2023 J jnl
Step-by-Step Remediation of Students' Mathematical Mistakes.
CoRR
Rose E. Wang, Qingyang Zhang, Carly Robinson, Susanna Loeb, Dorottya Demszky
2022 A* conf
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward.
NeurIPS
Zixian Ma, Rose E. Wang, Fei-Fei Li, Michael S. Bernstein, Ranjay Krishna
2022 J jnl
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward.
CoRR
Zixian Ma, Rose E. Wang, Li Fei-Fei, Michael S. Bernstein, Ranjay Krishna
2022 J jnl
Evaluating Human-Language Model Interaction.
CoRR
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
2022 J jnl
Know Thy Student: Interactive Learning with Gaussian Processes.
CoRR
Rose E. Wang, Mike Wu, Noah D. Goodman
2022 A* conf
Language modeling via stochastic processes.
ICLR
Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto
2022 J jnl
Language modeling via stochastic processes.
CoRR
Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto
2022 — ch.
Too Many cooks: Bayesian inference for coordinating Multi-agent Collaboration.
Human-Like Machine Intelligence
Rose E. Wang, Sarah A. Wu, James A. Evans, David C. Parkes, Joshua B. Tenenbaum, Max Kleiman-Weiner
2021 — conf
Calibrate your listeners! Robust communication-based training for pragmatic speakers.
EMNLP (Findings)
Rose E. Wang, Julia White, Jesse Mu, Noah D. Goodman
2021 J jnl
Calibrate your listeners! Robust communication-based training for pragmatic speakers.
CoRR
Rose E. Wang, Julia White, Jesse Mu, Noah D. Goodman
2021 J jnl
Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration.
Top. Cogn. Sci.
Sarah A. Wu, Rose E. Wang, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner
2020 J jnl
Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation.
CoRR
Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust
2020 Misc conf
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous.
CoRL
Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust
2020 J jnl
R-MADDPG for Partially Observable Environments and Limited Communication.
CoRR
Rose E. Wang, Michael Everett, Jonathan P. How
2020 A conf
Too Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning.
AAMAS
Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner
2020 B conf
Too many cooks: Coordinating multi-agent collaboration through inverse planning.
CogSci
Sarah A. Wu, Rose E. Wang, James A. Evans, Josh Tenenbaum, David C. Parkes, Max Kleiman-Weiner
2020 J jnl
Too many cooks: Coordinating multi-agent collaboration through inverse planning.
CoRR
Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner