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Rose E Wang
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On the opportunities and risks of foundation models
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
42682021
Too Many Cooks: Bayesian Inference for Coordinating Multi‐Agent Collaboration
RE Wang, SA Wu, JA Evans, JB Tenenbaum, DC Parkes, ...
Topics in Cognitive Science 2021, 2021
1172021
Evaluating human-language model interaction
M Lee, M Srivastava, A Hardy, J Thickstun, E Durmus, A Paranjape, ...
TMLR 2023, 2022
1012022
On the opportunities and risks of foundation models. arXiv 2021
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2023
952023
R-maddpg for partially observable environments and limited communication
RE Wang, M Everett, JP How
ICML 2019 Reinforcement Learning for Real Life Workshop, 2019
912019
Solving math word problems by combining language models with symbolic solvers
J He-Yueya, G Poesia, RE Wang, ND Goodman
MathAI 2023, 2023
742023
Is ChatGPT a Good Teacher Coach? Measuring Zero-Shot Performance For Scoring and Providing Actionable Insights on Classroom Instruction
RE Wang, D Demszky
🏆 BEA 2023, Ambassador Paper, 2023
722023
On the opportunities and risks of foundation models (2021)
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
arXiv preprint arXiv:2108.07258, 2022
632022
Too many cooks: Coordinating multi-agent collaboration through inverse planning.
RE Wang, SA Wu, JA Evans, J Tenenbaum, DC Parkes, ...
🏆 NeurIPS Cooperative AI Workshop, Best Paper, 2020
632020
Too many cooks: Bayesian inference for coordinating multi-agent collaboration
RE Wang, SA Wu, JA Evans, JB Tenenbaum, DC Parkes, ...
🏆 CogSci 2020, Best Paper, 2020
46*2020
Language modeling via stochastic processes
RE Wang, E Durmus, N Goodman, T Hashimoto
ICLR 2022, 2022
362022
Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous
RE Wang, JC Kew, D Lee, TWE Lee, T Zhang, B Ichter, J Tan, A Faust
CoRL 2020, 2020
322020
Step-by-Step Remediation of Students' Mathematical Mistakes
RE Wang, Q Zhang, C Robinson, S Loeb, D Demszky
NAACL 2024, 2023
212023
On the opportunities and risks of foundation models. arXiv [Preprint](2021)
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S Arx, ...
Source:〈 https://arxiv. org/abs/2108.07258, 0
20
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward
Z Ma, R Wang, FF Li, M Bernstein, R Krishna
NeurIPS 2022, 2022
172022
Bridging the Novice-Expert Gap via Models of Decision-Making: A Case Study on Remediating Math Mistakes
RE Wang, Q Zhang, C Robinson, S Loeb, D Demszky
NAACL 2024, 2024
152024
SIGHT: A Large Annotated Dataset on Student Insights Gathered from Higher Education Transcripts
RE Wang, P Wirawarn, N Goodman, D Demszky
BEA 2023, 2023
142023
On the opportunities and risks of foundation models. CoRR abs/2108.07258 (2021)
R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ...
Preprint at https://arxiv. org/abs/2108.07258 2108, 2021
122021
Calibrate your listeners! Robust communication-based training for pragmatic speakers
RE Wang, J White, J Mu, ND Goodman
Findings of EMNLP 2021, 2021
102021
"Mistakes Help Us Grow": Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms
K Handa, M Clapper, J Boyle, RE Wang, D Yang, DS Yeager, D Demszky
EMNLP 2023, 2023
92023
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