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2020 – today
- 2024
[c17]Rose E. Wang, Pawan Wirawarn, Omar Khattab, Noah D. Goodman, Dorottya Demszky:
Backtracing: Retrieving the Cause of the Query. EACL (Findings) 2024: 722-735- [c16]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:
Leveraging Large Language Models for Next-Generation Educational Technologies. EDM 2024 - [c15]Li Lucy, Tal August, Rose E. Wang, Luca Soldaini, Courtney Allison, Kyle Lo:
MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula. EMNLP (Findings) 2024: 5644-5673 - [c14]Rose E. Wang, Pawan Wirawarn, Kenny Lam, Omar Khattab, Dorottya Demszky:
Problem-Oriented Segmentation and Retrieval: Case Study on Tutoring Conversations. EMNLP (Findings) 2024: 12654-12672 - [c13]Dorottya Demszky
, Rose E. Wang, Sean Geraghty, Carol Yu:
Does Feedback on Talk Time Increase Student Engagement? Evidence from a Randomized Controlled Trial on a Math Tutoring Platform. LAK 2024: 632-644 - [c12]Rizwaan Malik, Dorna Abdi, Rose E. Wang, Dorottya Demszky:
Scaling High-Leverage Curriculum Scaffolding in Middle-School Mathematics. L@S 2024: 476-480 - [c11]Rose E. Wang, Dorottya Demszky:
Edu-ConvoKit: An Open-Source Library for Education Conversation Data. NAACL (Demonstrations) 2024: 61-69 - [c10]Rose E. Wang, Qingyang Zhang, Carly Robinson, Susanna Loeb, Dorottya Demszky:
Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes. NAACL-HLT 2024: 2174-2199 - [e1]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 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 Walkington:
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. CEUR Workshop Proceedings 3840, CEUR-WS.org 2024 [contents] - [i17]Rose E. Wang, Dorottya Demszky:
Edu-ConvoKit: An Open-Source Library for Education Conversation Data. CoRR abs/2402.05111 (2024) - [i16]Rose E. Wang, Pawan Wirawarn, Omar Khattab, Noah D. Goodman, Dorottya Demszky:
Backtracing: Retrieving the Cause of the Query. CoRR abs/2403.03956 (2024) - [i15]Li Lucy, Tal August, Rose E. Wang, Luca Soldaini, Courtney Allison, Kyle Lo:
Evaluating Language Model Math Reasoning via Grounding in Educational Curricula. CoRR abs/2408.04226 (2024) - [i14]Rose E. Wang, Ana T. Ribeiro, Carly Robinson, Susanna Loeb, Dora Demszky:
Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise. CoRR abs/2410.03017 (2024) - 2023
- [j2]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:
Evaluating Human-Language Model Interaction. Trans. Mach. Learn. Res. 2023 (2023) - [c9]Rose E. Wang, Pawan Wirawarn, Noah D. Goodman, Dorottya Demszky:
SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts. BEA@ACL 2023: 315-351 - [c8]Rose E. Wang, Dorottya Demszky:
Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction. BEA@ACL 2023: 626-667 - [c7]Kunal Handa, Margaret Clapper, Jessica Boyle, Rose E. Wang, Diyi Yang, David S. Yeager, Dorottya Demszky:
"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms. EMNLP 2023: 8877-8897 - [i13]Joy He-Yueya, Gabriel Poesia, Rose E. Wang, Noah D. Goodman:
Solving Math Word Problems by Combining Language Models With Symbolic Solvers. CoRR abs/2304.09102 (2023) - [i12]Rose E. Wang, Dorottya Demszky:
Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction. CoRR abs/2306.03090 (2023) - [i11]Rose E. Wang, Pawan Wirawarn, Noah D. Goodman, Dorottya Demszky:
SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts. CoRR abs/2306.09343 (2023) - [i10]Kunal Handa, Margaret Clapper, Jessica Boyle, Rose E. Wang, Diyi Yang, David S. Yeager, Dorottya Demszky:
"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms. CoRR abs/2310.10637 (2023) - [i9]Rose E. Wang, Qingyang Zhang, Carly Robinson, Susanna Loeb, Dorottya Demszky:
Step-by-Step Remediation of Students' Mathematical Mistakes. CoRR abs/2310.10648 (2023) - 2022
- [c6]Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto:
Language modeling via stochastic processes. ICLR 2022 - [c5]Zixian Ma, Rose E. Wang, Fei-Fei Li, Michael S. Bernstein, Ranjay Krishna:
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. NeurIPS 2022 - [p1]Rose E. Wang, Sarah A. Wu, James A. Evans, David C. Parkes, Joshua B. Tenenbaum, Max Kleiman-Weiner:
Too Many cooks: Bayesian inference for coordinating Multi-agent Collaboration. Human-Like Machine Intelligence 2022: 152-170 - [i8]Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto:
Language modeling via stochastic processes. CoRR abs/2203.11370 (2022) - [i7]Rose E. Wang, Mike Wu, Noah D. Goodman:
Know Thy Student: Interactive Learning with Gaussian Processes. CoRR abs/2204.12072 (2022) - [i6]Zixian Ma, Rose E. Wang, Li Fei-Fei, Michael S. Bernstein, Ranjay Krishna:
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. CoRR abs/2210.04365 (2022) - [i5]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:
Evaluating Human-Language Model Interaction. CoRR abs/2212.09746 (2022) - 2021
- [j1]Sarah A. Wu, Rose E. Wang, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too Many Cooks: Bayesian Inference for Coordinating Multi-Agent Collaboration. Top. Cogn. Sci. 13(2): 414-432 (2021) - [c4]Rose E. Wang, Julia White, Jesse Mu, Noah D. Goodman:
Calibrate your listeners! Robust communication-based training for pragmatic speakers. EMNLP (Findings) 2021: 977-984 - [i4]Rose E. Wang, Julia White, Jesse Mu, Noah D. Goodman:
Calibrate your listeners! Robust communication-based training for pragmatic speakers. CoRR abs/2110.05422 (2021) - 2020
- [c3]Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too Many Cooks: Coordinating Multi-agent Collaboration Through Inverse Planning. AAMAS 2020: 2032-2034 - [c2]Sarah A. Wu, Rose E. Wang, James A. Evans, Josh Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too many cooks: Coordinating multi-agent collaboration through inverse planning. CogSci 2020 - [c1]Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust:
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous. CoRL 2020: 711-725 - [i3]Rose E. Wang, Michael Everett, Jonathan P. How:
R-MADDPG for Partially Observable Environments and Limited Communication. CoRR abs/2002.06684 (2020) - [i2]Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust:
Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation. CoRR abs/2003.06906 (2020) - [i1]Rose E. Wang, Sarah A. Wu, James A. Evans, Joshua B. Tenenbaum, David C. Parkes, Max Kleiman-Weiner:
Too many cooks: Coordinating multi-agent collaboration through inverse planning. CoRR abs/2003.11778 (2020)
Coauthor Index
aka: Dora Demszky
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