Ben Bogin

42 papers A* 6B 1Journal 24Unranked 10
YearRankTypeTitle / Venue / Authors
2025 — conf
Aurora-M: Open Source Continual Pre-training for Multilingual Language and Code.
COLING (Industry)
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 Barbosa Junior, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Nour Moustafa-Fahmy, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Hiep Nguyen, Sampo Pyysalo
2025 A* conf
DataDecide: How to Predict Best Pretraining Data with Small Experiments.
ICML
Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge
2025 J jnl
DataDecide: How to Predict Best Pretraining Data with Small Experiments.
CoRR
Ian Magnusson, Nguyen Tai, Ben Bogin, David Heineman, Jena D. Hwang, Luca Soldaini, Akshita Bhagia, Jiacheng Liu, Dirk Groeneveld, Oyvind Tafjord, Noah A. Smith, Pang Wei Koh, Jesse Dodge
2025 J jnl
Leveraging In-Context Learning for Language Model Agents.
CoRR
Shivanshu Gupta, Sameer Singh, Ashish Sabharwal, Tushar Khot, Ben Bogin
2024 A* conf
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
EMNLP
Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant
2024 J jnl
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
CoRR
Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant
2024 J jnl
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order.
CoRR
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 Barbosa 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
2024 — conf
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.
ACL (1)
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
2024 J jnl
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.
CoRR
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
2024 — conf
Leveraging Code to Improve In-Context Learning for Semantic Parsing.
NAACL-HLT
Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
2024 A* conf
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories.
EMNLP
Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot
2024 J jnl
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories.
CoRR
Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle D. Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot
2023 A* conf
Answering Questions by Meta-Reasoning over Multiple Chains of Thought.
EMNLP
Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant
2023 J jnl
Answering Questions by Meta-Reasoning over Multiple Chains of Thought.
CoRR
Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant
2023 — conf
Diverse Demonstrations Improve In-context Compositional Generalization.
ACL (1)
Itay Levy, Ben Bogin, Jonathan Berant
2023 — ch.
Latent Trees for Compositional Generalization.
Compendium of Neurosymbolic Artificial Intelligence
Jonathan Herzig, Jonathan Berant, Ben Bogin
2023 J jnl
Leveraging Code to Improve In-context Learning for Semantic Parsing.
CoRR
Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal
2022 J jnl
Diverse Demonstrations Improve In-context Compositional Generalization.
CoRR
Itay Levy, Ben Bogin, Jonathan Berant
2022 — conf
Training Vision-Language Models with Less Bimodal Supervision.
AKBC
Elad Segal, Ben Bogin, Jonathan Berant
2022 J jnl
Training Vision-Language Models with Less Bimodal Supervision.
CoRR
Elad Segal, Ben Bogin, Jonathan Berant
2022 A* conf
Unobserved Local Structures Make Compositional Generalization Hard.
EMNLP
Ben Bogin, Shivanshu Gupta, Jonathan Berant
2022 J jnl
Unobserved Local Structures Make Compositional Generalization Hard.
CoRR
Ben Bogin, Shivanshu Gupta, Jonathan Berant
2021 J jnl
An autonomous debating system.
Nat.
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
2021 — conf
COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images.
EMNLP (1)
Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
2021 J jnl
COVR: A test-bed for Visually Grounded Compositional Generalization with real images.
CoRR
Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
2021 J jnl
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering.
Trans. Assoc. Comput. Linguistics
Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
2021 J jnl
Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data.
CoRR
Moshe Hazoom, Vibhor Malik, Ben Bogin
2020 — conf
Evaluating Models' Local Decision Boundaries via Contrast Sets.
EMNLP (Findings)
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
2020 J jnl
Evaluating NLP Models via Contrast Sets.
CoRR
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
2020 J jnl
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering.
CoRR
Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
2020 — conf
MedICaT: A Dataset of Medical Images, Captions, and Textual References.
EMNLP (Findings)
Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
2020 J jnl
MedICaT: A Dataset of Medical Images, Captions, and Textual References.
CoRR
Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
2020 A* conf
Obtaining Faithful Interpretations from Compositional Neural Networks.
ACL
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
2020 J jnl
Obtaining Faithful Interpretations from Compositional Neural Networks.
CoRR
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
2019 — conf
Global Reasoning over Database Structures for Text-to-SQL Parsing.
EMNLP/IJCNLP (1)
Ben Bogin, Matt Gardner, Jonathan Berant
2019 J jnl
Global Reasoning over Database Structures for Text-to-SQL Parsing.
CoRR
Ben Bogin, Matt Gardner, Jonathan Berant
2019 J jnl
Grammar-based Neural Text-to-SQL Generation.
CoRR
Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner
2019 — conf
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing.
ACL (1)
Ben Bogin, Jonathan Berant, Matt Gardner
2019 J jnl
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing.
CoRR
Ben Bogin, Matt Gardner, Jonathan Berant
2018 J jnl
Emergence of Communication in an Interactive World with Consistent Speakers.
CoRR
Ben Bogin, Mor Geva, Jonathan Berant
2018 B conf
Towards an argumentative content search engine using weak supervision.
COLING
Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, Noam Slonim
2017 J jnl
Language Generation with Recurrent Generative Adversarial Networks without Pre-training.
CoRR
Ofir Press, Amir Bar, Ben Bogin, Jonathan Berant, Lior Wolf