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Nitay Calderon
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Docogen: Domain counterfactual generation for low resource domain adaptation
N Calderon, E Ben-David, A Feder, R Reichart
arXiv preprint arXiv:2202.12350, 2022
322022
Faithful explanations of black-box nlp models using llm-generated counterfactuals
Y Gat, N Calderon, A Feder, A Chapanin, A Sharma, R Reichart
arXiv preprint arXiv:2310.00603, 2023
52023
A systematic study of knowledge distillation for natural language generation with pseudo-target training
N Calderon, S Mukherjee, R Reichart, A Kantor
arXiv preprint arXiv:2305.02031, 2023
52023
From Limited Annotated Raw Material Data to Quality Production Data: A Case Study in the Milk Industry
R Shraga, G Katz, Y Badian, N Calderon, A Gal
Proceedings of the 30th ACM International Conference on Information …, 2021
42021
Social media images can predict suicide risk using interpretable large language-vision models
Y Badian, Y Ophir, R Tikochinski, N Calderon, AB Klomek, E Fruchter, ...
The Journal of Clinical Psychiatry 85 (1), 50516, 2023
3*2023
A functional information perspective on model interpretation
I Gat, N Calderon, R Reichart, T Hazan
International Conference on Machine Learning, 7266-7278, 2022
32022
The Colorful Future of LLMs: Evaluating and Improving LLMs as Emotional Supporters for Queer Youth
S Lissak, N Calderon, G Shenkman, Y Ophir, E Fruchter, AB Klomek, ...
arXiv preprint arXiv:2402.11886, 2024
2024
Measuring the Robustness of Natural Language Processing Models to Domain Shifts
N Calderon, N Porat, E Ben-David, Z Gekhman, N Oved, R Reichart
arXiv preprint arXiv:2306.00168, 2023
2023
Measuring the Robustness of NLP Models to Domain Shifts
N Calderon, N Porat, E Ben-David, A Chapanin, Z Gekhman, N Oved, ...
LIST OF SUPPLEMENTARY MATERIAL FOR THE ARTICLE
Y Badian, Y Ophir, R Tikochinski, N Calderon, AB Klomek, E Fruchter, ...
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