Tzuf Paz-Argaman

According to our database, Tzuf Paz-Argaman authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs.

Itai Mondshine, Tzuf Paz-Argaman, Reut Tsarfaty

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Beyond N-Grams: Rethinking Evaluation Metrics and Strategies for Multilingual Abstractive Summarization.

Itai Mondshine, Tzuf Paz-Argaman, Reut Tsarfaty

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Where Do We Go from Here? Multi-scale Allocentric Relational Inference from Natural Spatial Descriptions.

Tzuf Paz-Argaman, Sayali Kulkarni, John Palowitch, Jason Baldridge, Reut Tsarfaty

CoRR, 2024

Where Do We Go From Here? Multi-scale Allocentric Relational Inferencefrom Natural Spatial Descriptions.

Tzuf Paz-Argaman, John Palowitch, Sayali Kulkarni, Jason Baldridge, Reut Tsarfaty

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Into the Unknown: Generating Geospatial Descriptions for New Environments.

Tzuf Paz-Argaman, John Palowitch, Sayali Kulkarni, Reut Tsarfaty, Jason Baldridge

Proceedings of the Findings of the Association for Computational Linguistics, 2024

HeSum: a Novel Dataset for Abstractive Text Summarization in Hebrew.

Tzuf Paz-Argaman, Itai Mondshine, Asaf Achi Mordechai, Reut Tsarfaty

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Apollo: Zero-shot MultiModal Reasoning with Multiple Experts.

Daniela Ben-David, Tzuf Paz-Argaman, Reut Tsarfaty

CoRR, 2023

HeGeL: A Novel Dataset for Geo-Location from Hebrew Text.

Tzuf Paz-Argaman, Tal Bauman, Itai Mondshine, Itzhak Omer, Sagi Dalyot, Reut Tsarfaty

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2020

ZEST: Zero-shot Learning from Text Descriptions using Textual Similarity and Visual Summarization.

Tzuf Paz-Argaman, Reut Tsarfaty, Gal Chechik, Yuval Atzmon

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

RUN through the Streets: A New Dataset and Baseline Models for Realistic Urban Navigation.

Tzuf Paz-Argaman, Reut Tsarfaty

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019