1 code implementation • 26 Feb 2024 • Tzuf Paz-Argaman, Sayali Kulkarni, John Palowitch, Jason Baldridge, Reut Tsarfaty
Current navigation studies concentrate on egocentric local descriptions (e. g., `it will be on your right') that require reasoning over the agent's local perception.
1 code implementation • 25 Oct 2023 • Daniela Ben-David, Tzuf Paz-Argaman, Reut Tsarfaty
On the well-known task of stylized image captioning, our experiments show that our approach outperforms semi-supervised state-of-the-art models, while being zero-shot and avoiding costly training, data collection, and prompt engineering.
1 code implementation • 2 Jul 2023 • Tzuf Paz-Argaman, Tal Bauman, Itai Mondshine, Itzhak Omer, Sagi Dalyot, Reut Tsarfaty
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 understanding and geospatial reasoning.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Tzuf Paz-Argaman, Yuval Atzmon, Gal Chechik, Reut Tsarfaty
Specifically, given birds' images with free-text descriptions of their species, we learn to classify images of previously-unseen species based on specie descriptions.
1 code implementation • IJCNLP 2019 • Tzuf Paz-Argaman, Reut Tsarfaty
Following navigation instructions in natural language requires a composition of language, action, and knowledge of the environment.