Cryptonite: A Cryptic Crossword Benchmark for Extreme Ambiguity in Language. - Avia Efrat; Uri Shaham 002; Dan Kilman; Omer Levy (EMNLP (1), 2021)

Neural Machine Translation without Embeddings. - Uri Shaham 002; Omer Levy (NAACL-HLT, 2021)

What Do You Get When You Cross Beam Search with Nucleus Sampling? - Uri Shaham 002; Omer Levy (Insights@ACL, 2022)

SCROLLS: Standardized CompaRison Over Long Language Sequences. - Uri Shaham 002; Elad Segal; Maor Ivgi; Avia Efrat; Ori Yoran; Adi Haviv; Ankit Gupta 001; Wenhan Xiong; Mor Geva; Jonathan Berant; Omer Levy (EMNLP, 2022)

Causes and Cures for Interference in Multilingual Translation. - Uri Shaham 002; Maha Elbayad; Vedanuj Goswami; Omer Levy; Shruti Bhosale (ACL (1), 2023)

Instruction Induction: From Few Examples to Natural Language Task Descriptions. - Or Honovich; Uri Shaham 002; Samuel R. Bowman; Omer Levy (ACL (1), 2023)

ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding. - Uri Shaham 002; Maor Ivgi; Avia Efrat; Jonathan Berant; Omer Levy (EMNLP (Findings), 2023)

Efficient Long-Text Understanding with Short-Text Models. - Maor Ivgi; Uri Shaham 002; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Multilingual Instruction Tuning With Just a Pinch of Multilinguality. - Uri Shaham 002; Jonathan Herzig; Roee Aharoni; Idan Szpektor; Reut Tsarfaty; Matan Eyal (ACL (Findings), 2024)

CoverBench: A Challenging Benchmark for Complex Claim Verification. - Alon Jacovi; Moran Ambar; Eyal Ben-David; Uri Shaham 002; Amir Feder; Mor Geva; Dror Marcus; Avi Caciularu (CoRR, 2024)

ECLeKTic: a Novel Challenge Set for Evaluation of Cross-Lingual Knowledge Transfer. - Omer Goldman; Uri Shaham 002; Dan Malkin; Sivan Eiger; Avinatan Hassidim; Yossi Matias; Joshua Maynez; Adi Mayrav Gilady; Jason Riesa; Shruti Rijhwani; Laura Rimell; Idan Szpektor; et al. (CoRR, 2025)