| 2025 | NAACL | In-Context Learning with Long-Context Models: An In-Depth Exploration. | Amanda Bertsch, Maor Ivgi, Emily Xiao, Uri Alon, Jonathan Berant, Matthew R. Gormley, Graham Neubig |
| 2024 | COLT | Accelerated Parameter-Free Stochastic Optimization. | Itai Kreisler, Maor Ivgi, Oliver Hinder, Yair Carmon |
| 2023 | EMNLP | ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding. | Uri Shaham, Maor Ivgi, Avia Efrat, Jonathan Berant, Omer Levy |
| 2023 | ICML | DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule. | Maor Ivgi, Oliver Hinder, Yair Carmon |
| 2022 | EMNLP | SCROLLS: Standardized CompaRison Over Long Language Sequences. | Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, Omer Levy |
| 2022 | EMNLP | Scaling Laws Under the Microscope: Predicting Transformer Performance from Small Scale Experiments. | Maor Ivgi, Yair Carmon, Jonathan Berant |
| 2021 | EMNLP | Achieving Model Robustness through Discrete Adversarial Training. | Maor Ivgi, Jonathan Berant |
| 2021 | ICIP | Scene Graph tO Image Generation with Contextualized Object Layout Refinement. | Maor Ivgi, Yaniv Benny, Avichai Ben-David, Jonathan Berant, Lior Wolf |