Levine, Yoav

12 publications

ICML 2025 Position: Language Model Developers Should Report Train-Test Overlap Andy K Zhang, Kevin Klyman, Yifan Mai, Yoav Levine, Yian Zhang, Rishi Bommasani, Percy Liang

ICLRW 2025 Tradeoffs Between Alignment and Helpfulness in Language Models with Steering Methods Yotam Wolf, Noam Wies, Dorin Shteyman, Binyamin Rothberg, Yoav Levine, Amnon Shashua

ICML 2024 Fundamental Limitations of Alignment in Large Language Models Yotam Wolf, Noam Wies, Oshri Avnery, Yoav Levine, Amnon Shashua

ICML 2024 STEER: Assessing the Economic Rationality of Large Language Models Narun Krishnamurthi Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz

ICLR 2023 Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks Noam Wies, Yoav Levine, Amnon Shashua

NeurIPS 2023 The Learnability of In-Context Learning Noam Wies, Yoav Levine, Amnon Shashua

ICMLW 2022 Huge Frozen Language Models as Readers for Open-Domain Question Answering Yoav Levine, Ori Ram, Daniel Jannai, Barak Lenz, Shai Shalev-Shwartz, Amnon Shashua, Kevin Leyton-Brown, Yoav Shoham

ICLR 2022 The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design Yoav Levine, Noam Wies, Daniel Jannai, Dan Navon, Yedid Hoshen, Amnon Shashua

ICLR 2021 PMI-Masking: Principled Masking of Correlated Spans Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham

ICML 2021 Which Transformer Architecture Fits My Data? a Vocabulary Bottleneck in Self-Attention Noam Wies, Yoav Levine, Daniel Jannai, Amnon Shashua

NeurIPS 2020 Limits to Depth Efficiencies of Self-Attention Yoav Levine, Noam Wies, Or Sharir, Hofit Bata, Amnon Shashua

ICLR 2018 Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design Yoav Levine, David Yakira, Nadav Cohen, Amnon Shashua