Alert button
Picture for Eric Zelikman

Eric Zelikman

Alert button

Parsel: A Unified Natural Language Framework for Algorithmic Reasoning

Dec 20, 2022
Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D. Goodman, Nick Haber

Figure 1 for Parsel: A Unified Natural Language Framework for Algorithmic Reasoning
Figure 2 for Parsel: A Unified Natural Language Framework for Algorithmic Reasoning
Figure 3 for Parsel: A Unified Natural Language Framework for Algorithmic Reasoning
Figure 4 for Parsel: A Unified Natural Language Framework for Algorithmic Reasoning
Viaarxiv icon

Holistic Evaluation of Language Models

Nov 16, 2022
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel Orr, Lucia Zheng, Mert Yuksekgonul, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda

Figure 1 for Holistic Evaluation of Language Models
Figure 2 for Holistic Evaluation of Language Models
Figure 3 for Holistic Evaluation of Language Models
Figure 4 for Holistic Evaluation of Language Models
Viaarxiv icon

Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics

May 21, 2022
Elisa Kreiss, Cynthia Bennett, Shayan Hooshmand, Eric Zelikman, Meredith Ringel Morris, Christopher Potts

Figure 1 for Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics
Figure 2 for Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics
Figure 3 for Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics
Figure 4 for Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics
Viaarxiv icon

STaR: Bootstrapping Reasoning With Reasoning

Mar 28, 2022
Eric Zelikman, Yuhuai Wu, Noah D. Goodman

Figure 1 for STaR: Bootstrapping Reasoning With Reasoning
Figure 2 for STaR: Bootstrapping Reasoning With Reasoning
Figure 3 for STaR: Bootstrapping Reasoning With Reasoning
Figure 4 for STaR: Bootstrapping Reasoning With Reasoning
Viaarxiv icon

Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models

Oct 14, 2020
Eric Zelikman, Sharon Zhou, Jeremy Irvin, Cooper Raterink, Hao Sheng, Anand Avati, Jack Kelly, Ram Rajagopal, Andrew Y. Ng, David Gagne

Figure 1 for Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models
Figure 2 for Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models
Figure 3 for Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models
Figure 4 for Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models
Viaarxiv icon

CRUDE: Calibrating Regression Uncertainty Distributions Empirically

Jun 23, 2020
Eric Zelikman, Christopher Healy, Sharon Zhou, Anand Avati

Figure 1 for CRUDE: Calibrating Regression Uncertainty Distributions Empirically
Figure 2 for CRUDE: Calibrating Regression Uncertainty Distributions Empirically
Figure 3 for CRUDE: Calibrating Regression Uncertainty Distributions Empirically
Figure 4 for CRUDE: Calibrating Regression Uncertainty Distributions Empirically
Viaarxiv icon

Improving Regression Uncertainty Estimates with an Empirical Prior

Jun 06, 2020
Eric Zelikman, Christopher Healy, Sharon Zhou, Anand Avati

Figure 1 for Improving Regression Uncertainty Estimates with an Empirical Prior
Figure 2 for Improving Regression Uncertainty Estimates with an Empirical Prior
Figure 3 for Improving Regression Uncertainty Estimates with an Empirical Prior
Figure 4 for Improving Regression Uncertainty Estimates with an Empirical Prior
Viaarxiv icon

Evaluating the Disentanglement of Deep Generative Models through Manifold Topology

Jun 05, 2020
Sharon Zhou, Eric Zelikman, Fred Lu, Andrew Y. Ng, Stefano Ermon

Figure 1 for Evaluating the Disentanglement of Deep Generative Models through Manifold Topology
Figure 2 for Evaluating the Disentanglement of Deep Generative Models through Manifold Topology
Figure 3 for Evaluating the Disentanglement of Deep Generative Models through Manifold Topology
Figure 4 for Evaluating the Disentanglement of Deep Generative Models through Manifold Topology
Viaarxiv icon