Yoav Levine

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

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Publications

Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham
Generating Benchmarks for Factuality Evaluation of Language Models. EACL (1) (2024)
Narun Raman, Taylor Lundy, Samuel Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz
Rationality Report Cards: Assessing the Economic Rationality of Large Language Models. CoRR (2024)
Yotam Wolf, Noam Wies, Dorin Shteyman, Binyamin Rothberg, Yoav Levine, Amnon Shashua
Tradeoffs Between Alignment and Helpfulness in Language Models. CoRR (2024)
Noam Wies, Yoav Levine, Amnon Shashua
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks. ICLR (2023)
Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham
Generating Benchmarks for Factuality Evaluation of Language Models. CoRR (2023)
Noam Wies, Yoav Levine, Amnon Shashua
The Learnability of In-Context Learning. NeurIPS (2023)
Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
In-Context Retrieval-Augmented Language Models. CoRR (2023)
Yotam Wolf, Noam Wies, Yoav Levine, Amnon Shashua
Fundamental Limitations of Alignment in Large Language Models. CoRR (2023)
Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
In-Context Retrieval-Augmented Language Models. Trans. Assoc. Comput. Linguistics 11 (2023)
Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Inbal Magar, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
Parallel Context Windows for Large Language Models. ACL (1) (2023)
Noam Wies, Yoav Levine, Amnon Shashua
The Learnability of In-Context Learning. CoRR (2023)
Daniel Jannai, Amos Meron, Barak Lenz, Yoav Levine, Yoav Shoham
Human or Not? A Gamified Approach to the Turing Test. CoRR (2023)
Yoav Levine, Itay Dalmedigos, Ori Ram, Yoel Zeldes, Daniel Jannai, Dor Muhlgay, Yoni Osin, Opher Lieber, Barak Lenz, Shai Shalev-Shwartz, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
Standing on the Shoulders of Giant Frozen Language Models. CoRR (2022)
Yoav Levine, Noam Wies, Daniel Jannai, Dan Navon, Yedid Hoshen, Amnon Shashua
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design. ICLR (2022)
Ehud Karpas, Omri Abend, Yonatan Belinkov, Barak Lenz, Opher Lieber, Nir Ratner, Yoav Shoham, Hofit Bata, Yoav Levine, Kevin Leyton-Brown, Dor Muhlgay, Noam Rozen, Erez Schwartz, Gal Shachaf, Shai Shalev-Shwartz, Amnon Shashua, Moshe Tennenholtz
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning. CoRR (2022)
Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham
Parallel Context Windows Improve In-Context Learning of Large Language Models. CoRR (2022)
Noam Wies, Yoav Levine, Amnon Shashua
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks. CoRR (2022)
Yoav Levine, Noam Wies, Daniel Jannai, Dan Navon, Yedid Hoshen, Amnon Shashua
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design. CoRR (2021)
Noam Wies, Yoav Levine, Daniel Jannai, Amnon Shashua
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention. ICML (2021)
Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham
PMI-Masking: Principled masking of correlated spans. ICLR (2021)
Noam Wies, Yoav Levine, Daniel Jannai, Amnon Shashua
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention. CoRR (2021)
Yoav Levine, Noam Wies, Or Sharir, Hofit Bata, Amnon Shashua
Limits to Depth Efficiencies of Self-Attention. NeurIPS (2020)
Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham
PMI-Masking: Principled masking of correlated spans. CoRR (2020)
Yoav Levine, Barak Lenz, Or Dagan, Ori Ram, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham
SenseBERT: Driving Some Sense into BERT. ACL (2020)
Yoav Levine, Noam Wies, Or Sharir, Hofit Bata, Amnon Shashua
Limits to Depth Efficiencies of Self-Attention. CoRR (2020)
Yoav Levine, Barak Lenz, Or Dagan, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham
SenseBERT: Driving Some Sense into BERT. CoRR (2019)
Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo, Amnon Shashua
Deep autoregressive models for the efficient variational simulation of many-body quantum systems. CoRR (2019)
Yoav Levine, David Yakira, Nadav Cohen, Amnon Shashua
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design. ICLR (Poster) (2018)
Yoav Levine, Or Sharir, Amnon Shashua
Benefits of Depth for Long-Term Memory of Recurrent Networks. ICLR (Workshop) (2018)
Yoav Levine, Or Sharir, Nadav Cohen, Amnon Shashua
Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks. CoRR (2018)
Nadav Cohen, Or Sharir, Yoav Levine, Ronen Tamari, David Yakira, Amnon Shashua
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions. CoRR (2017)
Yoav Levine, Or Sharir, Amnon Shashua
Benefits of Depth for Long-Term Memory of Recurrent Networks. CoRR (2017)
Yoav Levine, David Yakira, Nadav Cohen, Amnon Shashua
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design. CoRR (2017)