Factcheck-gpt: End-to-end fine-grained document-level fact-checking and correction of llm output Y Wang, RG Reddy, ZM Mujahid, A Arora, A Rubashevskii, J Geng, ...
arXiv preprint arXiv:2311.09000, 2023
40 2023 Factcheck-bench: Fine-grained evaluation benchmark for automatic fact-checkers Y Wang, RG Reddy, ZM Mujahid, A Arora, A Rubashevskii, J Geng, ...
arXiv preprint arXiv:2311.09000, 2023
18 2023 Measuring intersectional biases in historical documents N Borenstein, K Stańczak, T Rolskov, NS Perez, NK Käfer, I Augenstein
arXiv preprint arXiv:2305.12376, 2023
9 2023 What languages are easy to language-model? a perspective from learning probabilistic regular languages N Borenstein, A Svete, R Chan, J Valvoda, F Nowak, I Augenstein, ...
arXiv preprint arXiv:2406.04289, 2024
5 2024 Revealing fine-grained values and opinions in large language models D Wright, A Arora, N Borenstein, S Yadav, S Belongie, I Augenstein
arXiv preprint arXiv:2406.19238, 2024
4 2024 Investigating human values in online communities N Borenstein, A Arora, LA Kaffee, I Augenstein
arXiv preprint arXiv:2402.14177, 2024
4 2024 Temporally stable video segmentation without video annotations A Azulay, T Halperin, O Vantzos, N Bornstein, O Bibi
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
4 2022 Imitation of life: A search engine for biologically inspired design H Emuna, N Borenstein, X Qian, H Kang, J Chan, A Kittur, D Shahaf
Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 503-511, 2024
3 2024 PHD: Pixel-based language modeling of historical documents N Borenstein, P Rust, D Elliott, I Augenstein
arXiv preprint arXiv:2310.18343, 2023
3 2023 Multilingual event extraction from historical newspaper adverts N Borenstein, NS Perez, I Augenstein
arXiv preprint arXiv:2305.10928, 2023
3 2023 How did this get funded?! Automatically identifying quirky scientific achievements C Shani, N Borenstein, D Shahaf
arXiv preprint arXiv:2106.03048, 2021
2 2021 LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models D Wright, A Arora, N Borenstein, S Yadav, S Belongie, I Augenstein
Findings of the Association for Computational Linguistics: EMNLP 2024, 17085 …, 2024
1 2024 Can Transformers Learn A Svete, N Borenstein, M Zhou, I Augenstein, R Cotterell
arXiv preprint arXiv:2410.03001, 2024
1 2024 Using Image-Based Language Modeling to Examine Racialized Language in Historical Newspapers N Borenstein, N da Silva Perez
The 69th Annual Meeting of the Renaissance Society of America (San Juan …, 2023
2023 Espionage, Private Justice, and Alchemical Secrets: Exploring Notions of Privacy in Latin America NK Käfer, N Borenstein
The 69th Annual Meeting of the Renaissance Society of America (San Juan …, 2023
2023 BARCODE: A Flexible Learning Framework for Biologically Inspired Design N BORENSTEIN
Hebrew University of Jerusalem, 2020
2020 
Isabelle AugensteinFull Professor, Department of Computer Science, University of CopenhagenПодтвержден адрес электронной почты в домене di.ku.dk