2 citations · 2 across the 1 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,…
ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization
Tzuf Paz-Argaman, Yuval Atzmon, Gal Chechik +1
We study the problem of recognizing visual entities from the textual descriptions of their classes. Specifically, given birds' images with free-text descriptions of their species,…
RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation
Tzuf Paz-Argaman, Reut Tsarfaty
Following navigation instructions in natural language requires a composition of language, action, and knowledge of the environment. Knowledge of the environment may be provided via…