Uri Shaham

Tel Aviv University

I am a Computer Science PhD candidate at Tel Aviv University, researching Natural Language Processing with my advisor Omer Levy. My recent research focuses on long-range text understanding and multilingual instruction tuning and translation.

Publications

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

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

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Uri Shaham, Maha Elbayad, Vedanuj Goswami, Omer Levy, Shruti Bhosale (2022). Causes and Cures for Interference in Multilingual Translation. ACL 2023 - Outstanding Paper Award.

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Maor Ivgi, Uri Shaham, Jonathan Berant (2022). Efficient Long-Text Understanding with Short-Text Models. TACL 2023.

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Large collaboration, 445 authors (2022). Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. TLMR 2023.

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Or Honovich, Uri Shaham, Samuel R. Bowman, Omer Levy (2022). Instruction Induction: From Few Examples to Natural Language Task Descriptions. ACL 2023.

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

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Uri Shaham, Omer Levy (2021). What Do You Get When You Cross Beam Search with Nucleus Sampling?. Insights 2022.

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

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Uri Shaham, Omer Levy (2020). Neural Machine Translation without Embeddings. NAACL 2021.

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