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2020 – today
- 2024
[c15]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, Evan 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. ACL (1) 2024: 15725-15788- [c14]Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant:
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? EMNLP 2024: 8938-8968 - [c13]Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot:
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories. EMNLP 2024: 12622-12645 - [c12]Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal:
Leveraging Code to Improve In-Context Learning for Semantic Parsing. NAACL-HLT 2024: 4971-5012 - [i20]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:
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR abs/2402.00159 (2024) - [i19]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 abs/2404.00399 (2024) - [i18]Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant:
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? CoRR abs/2407.15711 (2024) - [i17]Ben Bogin, Kejuan Yang, Shashank Gupta, Kyle D. Richardson, Erin Bransom, Peter Clark, Ashish Sabharwal, Tushar Khot:
SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories. CoRR abs/2409.07440 (2024) - 2023
- [c11]Itay Levy, Ben Bogin, Jonathan Berant:
Diverse Demonstrations Improve In-context Compositional Generalization. ACL (1) 2023: 1401-1422 - [c10]Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant:
Answering Questions by Meta-Reasoning over Multiple Chains of Thought. EMNLP 2023: 5942-5966 - [p1]Jonathan Herzig, Jonathan Berant, Ben Bogin:
Latent Trees for Compositional Generalization. Compendium of Neurosymbolic Artificial Intelligence 2023: 631-664 - [i16]Ori Yoran, Tomer Wolfson, Ben Bogin, Uri Katz, Daniel Deutch, Jonathan Berant:
Answering Questions by Meta-Reasoning over Multiple Chains of Thought. CoRR abs/2304.13007 (2023) - [i15]Ben Bogin, Shivanshu Gupta, Peter Clark, Ashish Sabharwal:
Leveraging Code to Improve In-context Learning for Semantic Parsing. CoRR abs/2311.09519 (2023) - 2022
- [c9]Elad Segal, Ben Bogin, Jonathan Berant:
Training Vision-Language Models with Less Bimodal Supervision. AKBC 2022 - [c8]Ben Bogin, Shivanshu Gupta, Jonathan Berant:
Unobserved Local Structures Make Compositional Generalization Hard. EMNLP 2022: 2731-2747 - [i14]Ben Bogin, Shivanshu Gupta, Jonathan Berant:
Unobserved Local Structures Make Compositional Generalization Hard. CoRR abs/2201.05899 (2022) - [i13]Elad Segal, Ben Bogin, Jonathan Berant:
Training Vision-Language Models with Less Bimodal Supervision. CoRR abs/2211.00262 (2022) - [i12]Itay Levy, Ben Bogin, Jonathan Berant:
Diverse Demonstrations Improve In-context Compositional Generalization. CoRR abs/2212.06800 (2022) - 2021
- [j2]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): 379-384 (2021) - [j1]Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant:
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. Trans. Assoc. Comput. Linguistics 9: 195-210 (2021) - [c7]Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant:
COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images. EMNLP (1) 2021: 9824-9846 - [i11]Moshe Hazoom, Vibhor Malik, Ben Bogin:
Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data. CoRR abs/2106.05006 (2021) - [i10]Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant:
COVR: A test-bed for Visually Grounded Compositional Generalization with real images. CoRR abs/2109.10613 (2021) - 2020
- [c6]Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner:
Obtaining Faithful Interpretations from Compositional Neural Networks. ACL 2020: 5594-5608 - [c5]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: 1307-1323 - [c4]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: 2112-2120 - [i9]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 abs/2004.02709 (2020) - [i8]Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner:
Obtaining Faithful Interpretations from Compositional Neural Networks. CoRR abs/2005.00724 (2020) - [i7]Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant:
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. CoRR abs/2007.00266 (2020) - [i6]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 abs/2010.06000 (2020)
2010 – 2019
- 2019
- [c3]Ben Bogin, Jonathan Berant, Matt Gardner:
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. ACL (1) 2019: 4560-4565 - [c2]Ben Bogin, Matt Gardner, Jonathan Berant:
Global Reasoning over Database Structures for Text-to-SQL Parsing. EMNLP/IJCNLP (1) 2019: 3657-3662 - [i5]Ben Bogin, Matt Gardner, Jonathan Berant:
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. CoRR abs/1905.06241 (2019) - [i4]Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner:
Grammar-based Neural Text-to-SQL Generation. CoRR abs/1905.13326 (2019) - [i3]Ben Bogin, Matt Gardner, Jonathan Berant:
Global Reasoning over Database Structures for Text-to-SQL Parsing. CoRR abs/1908.11214 (2019) - 2018
- [c1]Ran Levy, Ben Bogin, Shai Gretz, Ranit Aharonov, Noam Slonim:
Towards an argumentative content search engine using weak supervision. COLING 2018: 2066-2081 - [i2]Ben Bogin, Mor Geva, Jonathan Berant:
Emergence of Communication in an Interactive World with Consistent Speakers. CoRR abs/1809.00549 (2018) - 2017
- [i1]Ofir Press, Amir Bar, Ben Bogin, Jonathan Berant, Lior Wolf:
Language Generation with Recurrent Generative Adversarial Networks without Pre-training. CoRR abs/1706.01399 (2017)
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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