Papers by Asaf Achi Mordechai

1 papers
HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew (2024.findings-acl)

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Challenge: Large language models excel in various natural language tasks in English, but their performance in low-resource languages like Hebrew remains unclear.
Approach: They propose a benchmark dataset specifically designed for Hebrew abstractive text summarization that combines 10,000 article-summary pairs from Hebrew news websites.
Outcome: The proposed dataset shows that it presents distinct difficulties even for state-of-the-art LLMs.

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