3 papers
cs.CL2025
Beyond N-Grams: Rethinking Evaluation Metrics and Strategies for Multilingual Abstractive Summarization
Itai Mondshine, Tzuf Paz-Argaman, Reut Tsarfaty
Automatic n-gram based metrics such as ROUGE are widely used for evaluating generative tasks such as summarization. While these metrics are considered indicative (even if imperfect…
cs.CL2025
HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew
Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai +1
While large language models (LLMs) excel in various natural language tasks in English, their performance in lower-resourced languages like Hebrew, especially for generative tasks s…
cs.CL2025
Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs
Itai Mondshine, Tzuf Paz-Argaman, Reut Tsarfaty
Despite advances in the multilingual capabilities of Large Language Models (LLMs) across diverse tasks, English remains the dominant language for LLM research and development. So,…