@misc{abramovich2026ablationbenchevaluatingautomatedplanning,title={AblationBench: Evaluating Automated Planning of Ablations in Empirical AI Research},author={Abramovich, Talor and Chechik, Gal},year={2026},eprint={2507.08038},archiveprefix={arXiv},primaryclass={cs.CL},url={https://arxiv.org/abs/2507.08038},}
2025
NeurIPS
AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?
Ori Press, Brandon Amos, Haoyu Zhao, and 21 more authors
In The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2025
@inproceedings{press2025algotune,title={AlgoTune: Can Language Models Speed Up General-Purpose Numerical Programs?},author={Press, Ori and Amos, Brandon and Zhao, Haoyu and Wu, Yikai and Ainsworth, Samuel and Krupke, Dominik and Kidger, Patrick and Sajed, Touqir and Stellato, Bartolomeo and Park, Jisun and Bosch, Nathanael and Meril, Eli and Steppi, Albert and Zharmagambetov, Arman and Zhang, Fangzhao and P{\'e}rez-Pi{\~n}eiro, David and Mercurio, Alberto and Zhan, Ni and Abramovich, Talor and Lieret, Kilian and Zhang, Hanlin and Huang, Shirley and Bethge, Matthias and Press, Ofir},booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems Datasets and Benchmarks Track},year={2025},url={https://openreview.net/forum?id=dF1tD9hjvn},}
@misc{abramovich2025interactivetoolssubstantiallyassist,title={EnIGMA: Interactive Tools Substantially Assist LM Agents in Finding Security Vulnerabilities},author={Abramovich, Talor and Udeshi, Meet and Shao, Minghao and Lieret, Kilian and Xi, Haoran and Milner, Kimberly and Jancheska, Sofija and Yang, John and Jimenez, Carlos E. and Khorrami, Farshad and Krishnamurthy, Prashanth and Dolan-Gavitt, Brendan and Shafique, Muhammad and Narasimhan, Karthik and Karri, Ramesh and Press, Ofir},year={2025},eprint={2409.16165},archiveprefix={arXiv},primaryclass={cs.AI},url={https://arxiv.org/abs/2409.16165},}
@misc{bercovich2025puzzledistillationbasednasinferenceoptimized,title={Puzzle: Distillation-Based NAS for Inference-Optimized LLMs},author={Bercovich, Akhiad and Ronen, Tomer and Abramovich, Talor and Ailon, Nir and Assaf, Nave and Dabbah, Mohammad and Galil, Ido and Geifman, Amnon and Geifman, Yonatan and Golan, Izhak and Haber, Netanel and Karpas, Ehud and Koren, Roi and Levy, Itay and Molchanov, Pavlo and Mor, Shahar and Moshe, Zach and Nabwani, Najeeb and Puny, Omri and Rubin, Ran and Schen, Itamar and Shahaf, Ido and Tropp, Oren and Argov, Omer Ullman and Zilberstein, Ran and El-Yaniv, Ran},year={2025},eprint={2411.19146},archiveprefix={arXiv},primaryclass={cs.LG},url={https://arxiv.org/abs/2411.19146},}
2016
Enhancement of BCI classifiers through domain adaptation
Hadas Benisty, Daniel Furman, Talor Abramovich, and 2 more authors
In 2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE), 2016
@inproceedings{7806083,author={Benisty, Hadas and Furman, Daniel and Abramovich, Talor and Ivry, Amir and Pratt, Hillel},booktitle={2016 IEEE International Conference on the Science of Electrical Engineering (ICSEE)},title={Enhancement of BCI classifiers through domain adaptation},year={2016},volume={},number={},pages={1-5},keywords={Training;Feature extraction;Testing;Electroencephalography;Electrodes;Brain;Electrical engineering},doi={10.1109/ICSEE.2016.7806083}}
