Eric Zelikman

32 papers A* 9Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2025 — conf
Media Content Atlas: A Pipeline to Explore and Investigate Multidimensional Media Space using Multimodal LLMs.
CHI Extended Abstracts
Merve Cerit, Eric Zelikman, Mu Jung Cho, Thomas N. Robinson, Byron Reeves, Nilam Ram, Nick Haber
2025 J jnl
Media Content Atlas: A Pipeline to Explore and Investigate Multidimensional Media Space using Multimodal LLMs.
CoRR
Merve Cerit, Eric Zelikman, Mu Jung Cho, Thomas N. Robinson, Byron Reeves, Nilam Ram, Nick Haber
2024 J jnl
Certified Deductive Reasoning with Language Models.
Trans. Mach. Learn. Res.
Gabriel Poesia, Kanishk Gandhi, Eric Zelikman, Noah D. Goodman
2024 A* conf
ContextRef: Evaluating Referenceless Metrics for Image Description Generation.
ICLR
Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber
2024 A* conf
Hypothesis Search: Inductive Reasoning with Language Models.
ICLR
Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah D. Goodman
2024 J jnl
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking.
CoRR
Eric Zelikman, Georges Harik, Yijia Shao, Varuna Jayasiri, Nick Haber, Noah D. Goodman
2024 A* conf
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels.
NeurIPS
Jan-Philipp Fränken, Eric Zelikman, Rafael Rafailov, Kanishk Gandhi, Tobias Gerstenberg, Noah D. Goodman
2024 J jnl
Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference Labels.
CoRR
Jan-Philipp Fränken, Eric Zelikman, Rafael Rafailov, Kanishk Gandhi, Tobias Gerstenberg, Noah D. Goodman
2023 J jnl
Certified Reasoning with Language Models.
CoRR
Gabriel Poesia, Kanishk Gandhi, Eric Zelikman, Noah D. Goodman
2023 J jnl
ContextRef: Evaluating Referenceless Metrics For Image Description Generation.
CoRR
Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber
2023 A* conf
Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency.
EMNLP
Eric Zelikman, Wanjing Anya Ma, Jasmine E. Tran, Diyi Yang, Jason D. Yeatman, Nick Haber
2023 J jnl
Generating and Evaluating Tests for K-12 Students with Language Model Simulations: A Case Study on Sentence Reading Efficiency.
CoRR
Eric Zelikman, Wanjing Anya Ma, Jasmine E. Tran, Diyi Yang, Jason D. Yeatman, Nick Haber
2023 J jnl
Holistic Evaluation of Language Models.
Trans. Mach. Learn. Res.
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
2023 J jnl
Hypothesis Search: Inductive Reasoning with Language Models.
CoRR
Ruocheng Wang, Eric Zelikman, Gabriel Poesia, Yewen Pu, Nick Haber, Noah D. Goodman
2023 J jnl
Just One Byte (per gradient): A Note on Low-Bandwidth Decentralized Language Model Finetuning Using Shared Randomness.
CoRR
Eric Zelikman, Qian Huang, Percy Liang, Nick Haber, Noah D. Goodman
2023 A* conf
Lexinvariant Language Models.
NeurIPS
Qian Huang, Eric Zelikman, Sarah Li Chen, Yuhuai Wu, Gregory Valiant, Percy Liang
2023 J jnl
Lexinvariant Language Models.
CoRR
Qian Huang, Eric Zelikman, Sarah Li Chen, Yuhuai Wu, Gregory Valiant, Percy Liang
2023 A* conf
Parsel🦆: Algorithmic Reasoning with Language Models by Composing Decompositions.
NeurIPS
Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D. Goodman, Nick Haber
2023 J jnl
Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation.
CoRR
Eric Zelikman, Eliana Lorch, Lester Mackey, Adam Tauman Kalai
2023 J jnl
SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky Videos from Physics-constrained VideoGPT.
CoRR
Yuhao Nie, Eric Zelikman, Andea Scott, Quentin Paletta, Adam Brandt
2022 A* conf
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics.
EMNLP
Elisa Kreiss, Cynthia L. Bennett, Shayan Hooshmand, Eric Zelikman, Meredith Ringel Morris, Christopher Potts
2022 J jnl
Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics.
CoRR
Elisa Kreiss, Cynthia L. Bennett, Shayan Hooshmand, Eric Zelikman, Meredith Ringel Morris, Christopher Potts
2022 J jnl
Holistic Evaluation of Language Models.
CoRR
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
2022 J jnl
Parsel: A Unified Natural Language Framework for Algorithmic Reasoning.
CoRR
Eric Zelikman, Qian Huang, Gabriel Poesia, Noah D. Goodman, Nick Haber
2022 A* conf
STaR: Bootstrapping Reasoning With Reasoning.
NeurIPS
Eric Zelikman, Yuhuai Wu, Jesse Mu, Noah D. Goodman
2022 J jnl
STaR: Bootstrapping Reasoning With Reasoning.
CoRR
Eric Zelikman, Yuhuai Wu, Noah D. Goodman
2021 A* conf
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology.
ICLR
Sharon Zhou, Eric Zelikman, Fred Lu, Andrew Y. Ng, Gunnar E. Carlsson, Stefano Ermon
2020 J jnl
Evaluating the Disentanglement of Deep Generative Models through Manifold Topology.
CoRR
Sharon Zhou, Eric Zelikman, Fred Lu, Andrew Y. Ng, Stefano Ermon
2020 J jnl
Improving Regression Uncertainty Estimates with an Empirical Prior.
CoRR
Eric Zelikman, Christopher Healy
2020 J jnl
Learning as Reinforcement: Applying Principles of Neuroscience for More General Reinforcement Learning Agents.
CoRR
Eric Zelikman, William Yin, Kenneth Wang
2020 J jnl
Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models.
CoRR
Eric Zelikman, Sharon Zhou, Jeremy Irvin, Cooper Raterink, Hao Sheng, Jack Kelly, Ram Rajagopal, Andrew Y. Ng, David John Gagne II
2018 J jnl
Context is Everything: Finding Meaning Statistically in Semantic Spaces.
CoRR
Eric Zelikman