117 citations · 117 across the 2 of their papers we have counts for
4 papers · 1 filter
STaR: Bootstrapping Reasoning With Reasoning
Eric Zelikman, Yuhuai Wu, Jesse Mu +1
Generating step-by-step "chain-of-thought" rationales improves language model performance on complex reasoning tasks like mathematics or commonsense question-answering. However, in…
Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models
Eric Zelikman, Sharon Zhou, Jeremy Irvin +7
Advancing probabilistic solar forecasting methods is essential to supporting the integration of solar energy into the electricity grid. In this work, we develop a variety of state-…
CRUDE: Calibrating Regression Uncertainty Distributions Empirically
Eric Zelikman, Christopher Healy, Sharon Zhou +1
Calibrated uncertainty estimates in machine learning are crucial to many fields such as autonomous vehicles, medicine, and weather and climate forecasting. While there is extensive…
Learning as Reinforcement: Applying Principles of Neuroscience for More General Reinforcement Learning Agents
Eric Zelikman, William Yin, Kenneth Wang
A significant challenge in developing AI that can generalize well is designing agents that learn about their world without being told what to learn, and apply that learning to chal…