2 citations · 2 across the 4 of their papers we have counts for
4 papers
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…
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,…
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…
HeGeL: A Novel Dataset for Geo-Location from Hebrew Text
Tzuf Paz-Argaman, Tal Bauman, Itai Mondshine +3
The task of textual geolocation - retrieving the coordinates of a place based on a free-form language description - calls for not only grounding but also natural language understan…