Yoav Levine
According to our database1,
Yoav Levine
authored at least 27 papers
between 2017 and 2024.
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Bibliography
2024
Rationality Report Cards: Assessing the Economic Rationality of Large Language Models.
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
2023
Trans. Assoc. Comput. Linguistics, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
CoRR, 2022
MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.
CoRR, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Deep autoregressive models for the efficient variational simulation of many-body quantum systems.
CoRR, 2019
2018
Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design.
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions.
CoRR, 2017