| 2026 | ACL | Small Data, Big Noise: Adversarial Training for Robust ParameterEfficient Fine-Tuning. | Eitan Cohen, Idan Simai, Uri Shaham |
| 2025 | ECAI | P-CAFE: Personalized Cost-Aware Incremental Feature Selection for Electronic Health Records. | Naama Kashani, Mira Cohen, Uri Shaham |
| 2024 | ACL | Multilingual Instruction Tuning With Just a Pinch of Multilinguality. | Uri Shaham, Jonathan Herzig, Roee Aharoni, Idan Szpektor, Reut Tsarfaty, Matan Eyal |
| 2024 | Interspeech | Sparse Binarization for Fast Keyword Spotting. | Jonathan Svirsky, Uri Shaham, Ofir Lindenbaum |
| 2023 | ACL | Causes and Cures for Interference in Multilingual Translation. | Uri Shaham, Maha Elbayad, Vedanuj Goswami, Omer Levy, Shruti Bhosale |
| 2023 | ACL | Instruction Induction: From Few Examples to Natural Language Task Descriptions. | Or Honovich, Uri Shaham, Samuel R. Bowman, Omer Levy |
| 2023 | EMNLP | ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding. | Uri Shaham, Maor Ivgi, Avia Efrat, Jonathan Berant, Omer Levy |
| 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 |
| 2021 | EMNLP | Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language. | Avia Efrat, Uri Shaham, Dan Kilman, Omer Levy |
| 2021 | NAACL | Neural Machine Translation without Embeddings. | Uri Shaham, Omer Levy |
| 2018 | ICLR | SpectralNet: Spectral Clustering using Deep Neural Networks. | Uri Shaham, Kelly P. Stanton, Henry Li, Ronen Basri, Boaz Nadler, Yuval Kluger |
| 2016 | ICML | A Deep Learning Approach to Unsupervised Ensemble Learning. | Uri Shaham, Xiuyuan Cheng, Omer Dror, Ariel Jaffe, Boaz Nadler, Joseph T. Chang, Yuval Kluger |