Shashua, Amnon

Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

Shalev-Shwartz, S., Shammah, S., & Shashua, A. (2016) · arXiv

Reinforcement Learning in RoboticsAutonomous Vehicle Technology and Safety

Cited by 509

In-Context Retrieval-Augmented Language Models

Ram, O., Levine, Y., Dalmedigos, I., Muhlgay, D., Shashua, A., Leyton-Brown, K., & Shoham, Y. (2023) · Transactions of the Association for Computational Linguistics

Topic ModelingInformation Retrieval and Search Behavior

Cited by 449

Quantum Entanglement in Deep Learning Architectures

Levine, Y., Sharir, O., Cohen, N., & Shashua, A. (2019) · Physical Review Letters

Quantum many-body systemsQuantum Computing Algorithms and Architecture

Cited by 206

Parallel Context Windows for Large Language Models

Ratner, N., Levine, Y., Belinkov, Y., Ram, O., Magar, I., Abend, O., Karpas, E., Shashua, A., Leyton-Brown, K., & Shoham, Y. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 111

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

Karpas, E., Abend, O., Belinkov, Y., Lenz, B., Lieber, O., Ratner, N., Shoham, Y., Bata, H., Levine, Y., Leyton-Brown, K., et al. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 49

Fundamental Limitations of Alignment in Large Language Models

Wolf, Y., Wies, N., Avnery, O., Levine, Y., & Shashua, A. (2023) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 47

The Learnability of In-Context Learning

Wies, N., Levine, Y., & Shashua, A. (2023) · Advances in Neural Information Processing Systems 36

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 36

Standing on the Shoulders of Giant Frozen Language Models

Levine, Y., Dalmedigos, I., Ram, O., Zeldes, Y., Jannai, D., Muhlgay, D., Osin, Y., Lieber, O., Lenz, B., Shalev-Shwartz, S., et al. (2022) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 20

Generating benchmarks for factuality evaluation of language models

Muhlgay, D., Ram, O., Magar, I., Levine, Y., Ratner, N., Belinkov, Y., Abend, O., Leyton-Brown, K., Shashua, A., & Shoham, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 8