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ORCIDIdo Galil
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2020 – today
- 2026
[j1]Ido Galil, Moshe Kimhi, Ran El-Yaniv:
Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips. Trans. Mach. Learn. Res. 2026 (2026)- [i11]Shani Goren, Ido Galil, Ran El-Yaniv:
When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation. CoRR abs/2602.11908 (2026) - [i10]Akhiad Bercovich, Nir Ailon, Vladimir Anisimov, Tomer Asida, Nave Assaf, Mohammad Dabbah, Ido Galil, Amnon Geifman, Yonatan Geifman, Izhak Golan, Roi Koren, Itay Levy, Zach Moshe, Pavlo Molchanov, Najeeb Nabwani, Mostofa Patwari, Omri Puny, Tomer Ronen, Itamar Schen, Elad Segal, Ido Shahaf, Oren Tropp, Ran Zilberstein, Ran El-Yaniv:
Extending Puzzle for Mixture-of-Experts Reasoning Models with Application to GPT-OSS Acceleration. CoRR abs/2602.11937 (2026) - 2025
- [c7]Akhiad Bercovich, Tomer Ronen, Talor Abramovich, Nir Ailon, Nave Assaf, Mohammad Dabbah, Ido Galil, Amnon Geifman, Yonatan Geifman, Izhak Golan, Netanel Haber, Ehud Karpas, Roi Koren, Itay Levy, Pavlo Molchanov, Shahar Mor, Zach Moshe, Najeeb Nabwani, Omri Puny, Ran Rubin, Itamar Schen, Ido Shahaf, Oren Tropp, Omer Ullman Argov, Ran Zilberstein, Ran El-Yaniv:
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs. ICML 2025 - [c6]Michael Toker, Ido Galil, Hadas Orgad, Rinon Gal, Yoad Tewel, Gal Chechik, Yonatan Belinkov:
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models. NAACL (Long Papers) 2025: 7618-7632 - [c5]Akhiad Bercovich, Mohammad Dabbah, Omri Puny, Ido Galil, Amnon Geifman, Yonatan Geifman, Izik Golan, Ehud Karpas, Itay Levy, Zach Moshe, Najeeb Nabwani, Tomer Ronen, Itamar Schen, Ido Shahaf, Oren Tropp, Ran Zilberstein, Ran El-Yaniv:
FFN Fusion: Rethinking Sequential Computation in Large Language Models. NeurIPS 2025 - [i9]Michael Toker, Ido Galil, Hadas Orgad, Rinon Gal, Yoad Tewel, Gal Chechik, Yonatan Belinkov:
Padding Tone: A Mechanistic Analysis of Padding Tokens in T2I Models. CoRR abs/2501.06751 (2025) - [i8]Ido Galil, Moshe Kimhi, Ran El-Yaniv:
No Data, No Optimization: A Lightweight Method To Disrupt Neural Networks With Sign-Flips. CoRR abs/2502.07408 (2025) - [i7]Akhiad Bercovich, Mohammad Dabbah, Omri Puny, Ido Galil, Amnon Geifman, Yonatan Geifman, Izhak Golan, Ehud Karpas, Itay Levy, Zach Moshe, Najeeb Nabwani, Tomer Ronen, Itamar Schen, Elad Segal, Ido Shahaf, Oren Tropp, Ran Zilberstein, Ran El-Yaniv:
FFN Fusion: Rethinking Sequential Computation in Large Language Models. CoRR abs/2503.18908 (2025) - 2024
- [c4]Shani Goren, Ido Galil, Ran El-Yaniv:
Hierarchical Selective Classification. NeurIPS 2024 - [i6]Shani Goren, Ido Galil, Ran El-Yaniv:
Hierarchical Selective Classification. CoRR abs/2405.11533 (2024) - [i5]Akhiad Bercovich, Tomer Ronen, Talor Abramovich, Nir Ailon, Nave Assaf, Mohammad Dabbah, Ido Galil, Amnon Geifman, Yonatan Geifman, Izhak Golan, Netanel Haber, Ehud Karpas, Roi Koren, Itay Levy, Pavlo Molchanov, Shahar Mor, Zach Moshe, Najeeb Nabwani, Omri Puny, Ran Rubin, Itamar Schen, Ido Shahaf, Oren Tropp, Omer Ullman Argov, Ran Zilberstein, Ran El-Yaniv:
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs. CoRR abs/2411.19146 (2024) - 2023
- [c3]Ido Galil, Mohammed Dabbah, Ran El-Yaniv:
A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet. ICLR 2023 - [c2]Ido Galil, Mohammed Dabbah, Ran El-Yaniv:
What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers? ICLR 2023 - [i4]Ido Galil, Mohammed Dabbah, Ran El-Yaniv:
What Can We Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers. CoRR abs/2302.11874 (2023) - [i3]Ido Galil, Mohammed Dabbah, Ran El-Yaniv:
A framework for benchmarking class-out-of-distribution detection and its application to ImageNet. CoRR abs/2302.11893 (2023) - 2022
- [i2]Ido Galil, Mohammed Dabbah, Ran El-Yaniv:
Which models are innately best at uncertainty estimation? CoRR abs/2206.02152 (2022) - 2021
- [c1]Ido Galil, Ran El-Yaniv:
Disrupting Deep Uncertainty Estimation Without Harming Accuracy. NeurIPS 2021: 21285-21296 - [i1]Ido Galil, Ran El-Yaniv:
Disrupting Deep Uncertainty Estimation Without Harming Accuracy. CoRR abs/2110.13741 (2021)
Coauthor Index
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