Eric Zelikman

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Language Models For Information Retrieval

Inductive Reasoning

Probabilistic Model

Top Venues

Publications

Gabriel Poesia, Kanishk Gandhi, Eric Zelikman, Noah D. Goodman
Certified Deductive Reasoning with Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Eric Zelikman, Georges Harik, Yijia Shao, Varuna Jayasiri, Nick Haber, Noah D. Goodman
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking. CoRR (2024)
Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber
ContextRef: Evaluating Referenceless Metrics for Image Description Generation. ICLR (2024)
Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah D. Goodman
Hypothesis Search: Inductive Reasoning with Language Models. ICLR (2024)
Jan-Philipp Fränken, Eric Zelikman, Rafael Rafailov, Kanishk Gandhi, Tobias Gerstenberg, Noah D. Goodman
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels. CoRR (2024)
Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber
ContextRef: Evaluating Referenceless Metrics For Image Description Generation. CoRR (2023)
Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D. Goodman, Nick Haber
Parsel🦆: Algorithmic Reasoning with Language Models by Composing Decompositions. NeurIPS (2023)
Qian Huang, Eric Zelikman, Sarah Chen, Yuhuai Wu, Gregory Valiant, Percy Liang
Lexinvariant Language Models. NeurIPS (2023)
Eric Zelikman, Qian Huang, Percy Liang, Nick Haber, Noah D. Goodman
Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness. CoRR (2023)
Qian Huang, Eric Zelikman, Sarah Li Chen, Yuhuai Wu, Gregory Valiant, Percy Liang
Lexinvariant Language Models. CoRR (2023)
Eric Zelikman, Wanjing Anya Ma, Jasmine E. Tran, Diyi Yang, Jason D. Yeatman, Nick Haber
Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency. EMNLP (2023)
Yuhao Nie, Eric Zelikman, Andea Scott, Quentin Paletta, Adam Brandt
SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky Videos from Physics-constrained VideoGPT. CoRR (2023)
Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah D. Goodman
Hypothesis Search: Inductive Reasoning with Language Models. CoRR (2023)
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 J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. 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
Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 2023 (2023)
Gabriel Poesia, Kanishk Gandhi, Eric Zelikman, Noah D. Goodman
Certified Reasoning with Language Models. CoRR (2023)
Eric Zelikman, Eliana Lorch, Lester Mackey, Adam Tauman Kalai
Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation. CoRR (2023)
Eric Zelikman, Wanjing Anya Ma, Jasmine E. Tran, Diyi Yang, Jason D. Yeatman, Nick Haber
Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency. CoRR (2023)
Elisa Kreiss, Cynthia L. Bennett, Shayan Hooshmand, Eric Zelikman, Meredith Ringel Morris, Christopher Potts
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics. EMNLP (2022)
Elisa Kreiss, Cynthia L. Bennett, Shayan Hooshmand, Eric Zelikman, Meredith Ringel Morris, Christopher Potts
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics. CoRR (2022)
Eric Zelikman, Yuhuai Wu, Jesse Mu, Noah D. Goodman
STaR: Bootstrapping Reasoning With Reasoning. NeurIPS (2022)
Eric Zelikman, Yuhuai Wu, Noah D. Goodman
STaR: Bootstrapping Reasoning With Reasoning. CoRR (2022)
Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D. Goodman, Nick Haber
Parsel: A Unified Natural Language Framework for Algorithmic Reasoning. CoRR (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 J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. 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
Holistic Evaluation of Language Models. CoRR (2022)
Sharon Zhou, Eric Zelikman, Fred Lu, Andrew Y. Ng, Gunnar E. Carlsson, Stefano Ermon
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology. ICLR (2021)
Eric Zelikman, William Yin, Kenneth Wang
Learning as Reinforcement: Applying Principles of Neuroscience for More General Reinforcement Learning Agents. CoRR (2020)
Sharon Zhou, Eric Zelikman, Fred Lu, Andrew Y. Ng, Stefano Ermon
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology. CoRR (2020)
Eric Zelikman, Sharon Zhou, Jeremy Irvin, Cooper Raterink, Hao Sheng, Jack Kelly, Ram Rajagopal, Andrew Y. Ng, David Gagne
Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models. CoRR (2020)
Eric Zelikman, Christopher Healy
Improving Regression Uncertainty Estimates with an Empirical Prior. CoRR (2020)
Eric Zelikman
Context is Everything: Finding Meaning Statistically in Semantic Spaces. CoRR (2018)