Nadav Borenstein

According to our database, Nadav Borenstein authored at least 14 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Can Transformers Learn <i>n</i>-gram Language Models?

Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell

CoRR, 2024

Revealing Fine-Grained Values and Opinions in Large Language Models.

Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge J. Belongie, Isabelle Augenstein

CoRR, 2024

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages.

Nadav Borenstein, Anej Svete, Robin Shing Moon Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell

CoRR, 2024

Investigating Human Values in Online Communities.

Nadav Borenstein, Arnav Arora, Lucie-Aimée Kaffee, Isabelle Augenstein

CoRR, 2024

Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers.

Yuxia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama Mohammed Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov

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

Can Transformers Learn n-gram Language Models?

Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LLM Tropes: Revealing Fine-Grained Values and Opinions in Large Language Models.

Dustin Wright, Arnav Arora, Nadav Borenstein, Srishti Yadav, Serge J. Belongie, Isabelle Augenstein

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

What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages.

Nadav Borenstein, Anej Svete, Robin Chan, Josef Valvoda, Franz Nowak, Isabelle Augenstein, Eleanor Chodroff, Ryan Cotterell

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Imitation of Life: A Search Engine for Biologically Inspired Design.

Hen Emuna, Nadav Borenstein, Xin Qian, Hyeonsu B. Kang, Joel Chan, Aniket Kittur, Dafna Shahaf

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output.

Yuxia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama Mohammed Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov

CoRR, 2023

PHD: Pixel-Based Language Modeling of Historical Documents.

Nadav Borenstein, Phillip Rust, Desmond Elliott, Isabelle Augenstein

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Measuring Intersectional Biases in Historical Documents.

Nadav Borenstein, Karolina Stanczak, Thea Rolskov, Natacha Klein Käfer, Natalia da Silva Perez, Isabelle Augenstein

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

Multilingual Event Extraction from Historical Newspaper Adverts.

Nadav Borenstein, Natalia da Silva Perez, Isabelle Augenstein

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements.

Chen Shani, Nadav Borenstein, Dafna Shahaf

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021