Ben Bogin

According to our database, Ben Bogin authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order.

Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T. Stillerman, Felix Friedrich, Prateek Yadav, Tanmay Laud, Minh Chien Vu, Terry Yue Zhuo, Diganta Misra, Ben Bogin, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Junior, Alpay Ariyak, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Noah Persaud, Nour Moustafa-Fahmy, Tianlong Chen, Mohit Bansal, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Huu Nguyen, Sampo Pyysalo

CoRR, 2024

Leveraging Code to Improve In-Context Learning for Semantic Parsing.

Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?

Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant

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

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories.

Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot

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

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo

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

2023

Latent Trees for Compositional Generalization.

Jonathan Herzig, Jonathan Berant, Ben Bogin

Proceedings of the Compendium of Neurosymbolic Artificial Intelligence, 2023

Answering Questions by Meta-Reasoning over Multiple Chains of Thought.

Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant

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

Diverse Demonstrations Improve In-context Compositional Generalization.

Itay Levy, Ben Bogin, Jonathan Berant

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

2022

Unobserved Local Structures Make Compositional Generalization Hard.

Ben Bogin, Shivanshu Gupta, Jonathan Berant

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Training Vision-Language Models with Less Bimodal Supervision.

Elad Segal, Ben Bogin, Jonathan Berant

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

2021

Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering.

Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant

Trans. Assoc. Comput. Linguistics, 2021

An autonomous debating system.

Noam Slonim, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, Ben Bogin, Francesca Bonin, Leshem Choshen, Edo Cohen-Karlik, Lena Dankin, Lilach Edelstein, Liat Ein-Dor, Roni Friedman-Melamed, Assaf Gavron, Ariel Gera, Martin Gleize, Shai Gretz, Dan Gutfreund, Alon Halfon, Daniel Hershcovich, Ron Hoory, Yufang Hou, Shay Hummel, Michal Jacovi, Charles Jochim, Yoav Kantor, Yoav Katz, David Konopnicki, Zvi Kons, Lili Kotlerman, Dalia Krieger, Dan Lahav, Tamar Lavee, Ran Levy, Naftali Liberman, Yosi Mass, Amir Menczel, Shachar Mirkin, Guy Moshkowich, Shila Ofek-Koifman, Matan Orbach, Ella Rabinovich, Ruty Rinott, Slava Shechtman, Dafna Sheinwald, Eyal Shnarch, Ilya Shnayderman, Aya Soffer, Artem Spector, Benjamin Sznajder, Assaf Toledo, Orith Toledo-Ronen, Elad Venezian, Ranit Aharonov

Nat., 2021

Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data.

Moshe Hazoom, Vibhor Malik, Ben Bogin

CoRR, 2021

COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images.

Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Evaluating NLP Models via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

CoRR, 2020

MedICaT: A Dataset of Medical Images, Captions, and Textual References.

Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi

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

Evaluating Models' Local Decision Boundaries via Contrast Sets.

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

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

Obtaining Faithful Interpretations from Compositional Neural Networks.

Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Grammar-based Neural Text-to-SQL Generation.

Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner

CoRR, 2019

Global Reasoning over Database Structures for Text-to-SQL Parsing.

Ben Bogin, Matt Gardner, Jonathan Berant

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

Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing.

Ben Bogin, Jonathan Berant, Matt Gardner

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Emergence of Communication in an Interactive World with Consistent Speakers.

Ben Bogin, Mor Geva, Jonathan Berant

CoRR, 2018

Towards an argumentative content search engine using weak supervision.

Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, Noam Slonim

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

Language Generation with Recurrent Generative Adversarial Networks without Pre-training.

Ofir Press, Amir Bar, Ben Bogin, Jonathan Berant, Lior Wolf

CoRR, 2017