Yoav Levine
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
4
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Position: Language model developers should report train-test overlap. | Andy K. Zhang, Kevin Klyman, Yifan Mai, Yoav Levine, Yian Zhang, Rishi Bommasani, Percy Liang |
| 2024 | EACL | 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 |
| 2024 | ICML | STEER: Assessing the Economic Rationality of Large Language Models. | Narun Krishnamurthi Raman, Taylor Lundy, Samuel Joseph Amouyal, Yoav Levine, Kevin Leyton-Brown, Moshe Tennenholtz |
| 2024 | ICML | Fundamental Limitations of Alignment in Large Language Models. | Yotam Wolf, Noam Wies, Oshri Avnery, Yoav Levine, Amnon Shashua |
| 2023 | ACL | 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 |
| 2023 | ICLR | Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks. | Noam Wies, Yoav Levine, Amnon Shashua |
| 2022 | ICLR | The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design. | Yoav Levine, Noam Wies, Daniel Jannai, Dan Navon, Yedid Hoshen, Amnon Shashua |
| 2021 | ICLR | PMI-Masking: Principled masking of correlated spans. | Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham |
| 2021 | ICML | Which transformer architecture fits my data? A vocabulary bottleneck in self-attention. | Noam Wies, Yoav Levine, Daniel Jannai, Amnon Shashua |
| 2020 | ACL | 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 |
| 2018 | ICLR | Benefits of Depth for Long-Term Memory of Recurrent Networks. | Yoav Levine, Or Sharir, Amnon Shashua |
| 2018 | ICLR | Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design. | Yoav Levine, David Yakira, Nadav Cohen, Amnon Shashua |