Yoav Levine

According to our database, Yoav Levine authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Rationality Report Cards: Assessing the Economic Rationality of Large Language Models.

Narun Raman, Taylor Lundy, Samuel Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz

CoRR, 2024

Tradeoffs Between Alignment and Helpfulness in Language Models.

Yotam Wolf, Noam Wies, Dorin Shteyman, Binyamin Rothberg, Yoav Levine, Amnon Shashua

CoRR, 2024

Generating Benchmarks for Factuality Evaluation of Language Models.

Dor Muhlgay, Ori Ram, Inbal Magar, Yoav Levine, Nir Ratner, Yonatan Belinkov, Omri Abend, Kevin Leyton-Brown, Amnon Shashua, Yoav Shoham

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Human or Not? A Gamified Approach to the Turing Test.

Daniel Jannai, Amos Meron, Barak Lenz, Yoav Levine, Yoav Shoham

CoRR, 2023

Fundamental Limitations of Alignment in Large Language Models.

Yotam Wolf, Noam Wies, Yoav Levine, Amnon Shashua

CoRR, 2023

In-Context Retrieval-Augmented Language Models.

Ori Ram, Yoav Levine, Itay Dalmedigos, Dor Muhlgay, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham

CoRR, 2023

The Learnability of In-Context Learning.

Noam Wies, Yoav Levine, Amnon Shashua

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks.

Noam Wies, Yoav Levine, Amnon Shashua

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Parallel Context Windows for Large Language Models.

Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Inbal Magar, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Parallel Context Windows Improve In-Context Learning of Large Language Models.

Nir Ratner, Yoav Levine, Yonatan Belinkov, Ori Ram, Omri Abend, Ehud Karpas, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham

CoRR, 2022

MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.

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

CoRR, 2022

Standing on the Shoulders of Giant Frozen Language Models.

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

CoRR, 2022

The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design.

Yoav Levine, Noam Wies, Daniel Jannai, Dan Navon, Yedid Hoshen, Amnon Shashua

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Which transformer architecture fits my data? A vocabulary bottleneck in self-attention.

Noam Wies, Yoav Levine, Daniel Jannai, Amnon Shashua

Proceedings of the 38th International Conference on Machine Learning, 2021

PMI-Masking: Principled masking of correlated spans.

Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Limits to Depth Efficiencies of Self-Attention.

Yoav Levine, Noam Wies, Or Sharir, Hofit Bata, Amnon Shashua

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SenseBERT: Driving Some Sense into BERT.

Yoav Levine, Barak Lenz, Or Dagan, Ori Ram, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

SenseBERT: Driving Some Sense into BERT.

Yoav Levine, Barak Lenz, Or Dagan, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, Yoav Shoham

CoRR, 2019

Deep autoregressive models for the efficient variational simulation of many-body quantum systems.

Or Sharir, Yoav Levine, Noam Wies, Giuseppe Carleo, Amnon Shashua

CoRR, 2019

2018

Bridging Many-Body Quantum Physics and Deep Learning via Tensor Networks.

Yoav Levine, Or Sharir, Nadav Cohen, Amnon Shashua

CoRR, 2018

Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design.

Yoav Levine, David Yakira, Nadav Cohen, Amnon Shashua

Proceedings of the 6th International Conference on Learning Representations, 2018

Benefits of Depth for Long-Term Memory of Recurrent Networks.

Yoav Levine, Or Sharir, Amnon Shashua

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions.

Nadav Cohen, Or Sharir, Yoav Levine, Ronen Tamari, David Yakira, Amnon Shashua

CoRR, 2017