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Rose E. Wang
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2020 – today
- 2024
- [c9]Rose E. Wang, Pawan Wirawarn, Omar Khattab, Noah D. Goodman, Dorottya Demszky:
Backtracing: Retrieving the Cause of the Query. EACL (Findings) 2024: 722-735 - [i15]Rose E. Wang, Dorottya Demszky:
Edu-ConvoKit: An Open-Source Library for Education Conversation Data. CoRR abs/2402.05111 (2024) - [i14]Rose E. Wang, Pawan Wirawarn, Omar Khattab, Noah D. Goodman, Dorottya Demszky:
Backtracing: Retrieving the Cause of the Query. CoRR abs/2403.03956 (2024) - [i13]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) - 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) - [c8]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 - [c7]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 - [c6]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 - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]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
- [c5]Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto:
Language modeling via stochastic processes. ICLR 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 - [i7]Rose E. Wang, Esin Durmus, Noah D. Goodman, Tatsunori Hashimoto:
Language modeling via stochastic processes. CoRR abs/2203.11370 (2022) - [i6]Rose E. Wang, Mike Wu, Noah D. Goodman:
Know Thy Student: Interactive Learning with Gaussian Processes. CoRR abs/2204.12072 (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
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