Ben Bogin

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Answering Questions

Semantic Parsing

Top Venues

EMNLP (Findings)

Publications

Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? CoRR (2024)
Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
Leveraging Code to Improve In-Context Learning for Semantic Parsing. NAACL-HLT (2024)
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
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. CoRR (2024)
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi 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
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR (2024)
Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant
Answering Questions by Meta-Reasoning over Multiple Chains of Thought. CoRR (2023)
Itay Levy, Ben Bogin, Jonathan Berant
Diverse Demonstrations Improve In-context Compositional Generalization. ACL (1) (2023)
Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant
Answering Questions by Meta-Reasoning over Multiple Chains of Thought. EMNLP (2023)
Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
Leveraging Code to Improve In-context Learning for Semantic Parsing. CoRR (2023)
Ben Bogin, Shivanshu Gupta, Jonathan Berant
Unobserved Local Structures Make Compositional Generalization Hard. CoRR (2022)
Elad Segal, Ben Bogin, Jonathan Berant
Training Vision-Language Models with Less Bimodal Supervision. AKBC (2022)
Itay Levy, Ben Bogin, Jonathan Berant
Diverse Demonstrations Improve In-context Compositional Generalization. CoRR (2022)
Elad Segal, Ben Bogin, Jonathan Berant
Training Vision-Language Models with Less Bimodal Supervision. CoRR (2022)
Ben Bogin, Shivanshu Gupta, Jonathan Berant
Unobserved Local Structures Make Compositional Generalization Hard. EMNLP (2022)
Moshe Hazoom, Vibhor Malik, Ben Bogin
Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data. CoRR (2021)
Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
COVR: A test-bed for Visually Grounded Compositional Generalization with real images. CoRR (2021)
Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images. EMNLP (1) (2021)
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
An autonomous debating system. Nat. 591 (7850) (2021)
Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. Trans. Assoc. Comput. Linguistics 9 (2021)
Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
MedICaT: A Dataset of Medical Images, Captions, and Textual References. EMNLP (Findings) (2020)
Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. CoRR (2020)
Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
MedICaT: A Dataset of Medical Images, Captions, and Textual References. CoRR (2020)
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
Obtaining Faithful Interpretations from Compositional Neural Networks. ACL (2020)
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
Evaluating NLP Models via Contrast Sets. CoRR (2020)
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
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) (2020)
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
Obtaining Faithful Interpretations from Compositional Neural Networks. CoRR (2020)
Ben Bogin, Matt Gardner, Jonathan Berant
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. CoRR (2019)
Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner
Grammar-based Neural Text-to-SQL Generation. CoRR (2019)
Ben Bogin, Matt Gardner, Jonathan Berant
Global Reasoning over Database Structures for Text-to-SQL Parsing. EMNLP/IJCNLP (1) (2019)
Ben Bogin, Matt Gardner, Jonathan Berant
Global Reasoning over Database Structures for Text-to-SQL Parsing. CoRR (2019)
Ben Bogin, Jonathan Berant, Matt Gardner
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. ACL (1) (2019)
Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, Noam Slonim
Towards an argumentative content search engine using weak supervision. COLING (2018)
Ben Bogin, Mor Geva, Jonathan Berant
Emergence of Communication in an Interactive World with Consistent Speakers. CoRR (2018)
Ofir Press, Amir Bar, Ben Bogin, Jonathan Berant, Lior Wolf
Language Generation with Recurrent Generative Adversarial Networks without Pre-training. CoRR (2017)