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ORCIDBenjamin Newman
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2020 – today
- 2024
[j3]Rachel M. Edelstein, Sterling Gutterman, Benjamin Newman, John Darrell Van Horn:
Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics? Neuroinformatics 22(4): 607-618 (2024)- [c10]Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S. Weld, Joseph Chee Chang, Kyle Lo:
ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models. EMNLP 2024: 9612-9631 - [c9]Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Raghavi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi:
The Generative AI Paradox: "What It Can Create, It May Not Understand". ICLR 2024 - [i14]Rachel M. Edelstein, Sterling Gutterman, Benjamin Newman
, John Darrell Van Horn:
Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics? CoRR abs/2401.13045 (2024) - [i13]Wenting Zhao, Tanya Goyal, Yu Ying Chiu, Liwei Jiang, Benjamin Newman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Ronan Le Bras, Claire Cardie, Yuntian Deng, Yejin Choi:
WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries. CoRR abs/2407.17468 (2024) - [i12]Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S. Weld, Joseph Chee Chang, Kyle Lo:
ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models. CoRR abs/2410.22360 (2024) - 2023
- [j2]John Darrell Van Horn, Zachary J. Jacokes, Benjamin Newman, Teague Henry:
Editorial: Is Now the Time for Foundational Theory of Brain Connectivity? Neuroinformatics 21(4): 633-635 (2023) - [j1]Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda:
Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 2023 (2023) - [c8]Liye Fu, Benjamin Newman, Maurice Jakesch, Sarah Kreps:
Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication. CHI 2023: 103:1-103:13 - [c7]Kyle Lo, Zejiang Shen, Benjamin Newman, Joseph Chee Chang, Russell Authur, Erin Bransom, Stefan Candra, Yoganand Chandrasekhar, Regan Huff, Bailey Kuehl, Amanpreet Singh, Chris Wilhelm, Angele Zamarron, Marti A. Hearst, Daniel S. Weld, Doug Downey, Luca Soldaini:
PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents. EMNLP (Demos) 2023: 495-507 - [c6]Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo:
A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents. EMNLP 2023: 3194-3212 - [i11]Liye Fu, Benjamin Newman, Maurice Jakesch, Sarah Kreps:
Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication. CoRR abs/2302.13382 (2023) - [i10]Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo:
A Controllable QA-based Framework for Decontextualization. CoRR abs/2305.14772 (2023) - [i9]Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D. Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Raghavi Chandu, Benjamin Newman, Pang Wei Koh, Allyson Ettinger, Yejin Choi:
The Generative AI Paradox: "What It Can Create, It May Not Understand". CoRR abs/2311.00059 (2023) - 2022
- [c5]Benjamin Newman, Prafulla Kumar Choubey, Nazneen Rajani:
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts. ICLR 2022 - [c4]Yuji Zhao, Max A. Laansma, Eva M. van Heese, Conor Owens-Walton, Laura M. Parkes, Ines Debove, Christian Rummel, Roland Wiest, Fernando Cendes, Rachel Guimaraes, Clarissa Lin Yasuda, Jiun-Jie Wang, Tim J. Anderson, John C. Dalrymple-Alford, Tracy R. Melzer, Toni L. Pitcher, Reinhold Schmidt, Petra Schwingenschuh, Gaëtan Garraux, Mario Rango, Letizia Squarcina, Sarah Al-Bachari, Hedley C. A. Emsley, Johannes C. Klein, Clare E. Mackay, Michiel F. Dirkx, Rick C. Helmich, Francesca Assogna, Fabrizio Piras, Joanna K. Bright, Gianfranco Spalletta, Kathleen Poston, Christine Lochner, Corey T. McMillan, Daniel Weintraub, Jason Druzgal, Benjamin Newman, Odile A. van den Heuvel, Neda Jahanshad, Paul M. Thompson, Ysbrand D. van der Werf, Boris Gutman:
Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging. MLCN@MICCAI 2022: 115-124 - [i8]Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda:
Holistic Evaluation of Language Models. CoRR abs/2211.09110 (2022) - 2021
- [c3]Benjamin Newman, Kai-Siang Ang, Julia Gong, John Hewitt:
Refining Targeted Syntactic Evaluation of Language Models. NAACL-HLT 2021: 3710-3723 - [i7]Benjamin Newman, Kai-Siang Ang, Julia Gong, John Hewitt:
Refining Targeted Syntactic Evaluation of Language Models. CoRR abs/2104.09635 (2021) - [i6]Benjamin Newman, Prafulla Kumar Choubey, Nazneen Rajani:
P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts. CoRR abs/2110.07280 (2021) - 2020
- [c2]Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning:
The EOS Decision and Length Extrapolation. BlackboxNLP@EMNLP 2020: 276-291 - [i5]Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning:
The EOS Decision and Length Extrapolation. CoRR abs/2010.07174 (2020) - [i4]Benjamin Newman, Kevin Carlberg, Ruta Desai:
Optimal Assistance for Object-Rearrangement Tasks in Augmented Reality. CoRR abs/2010.07358 (2020)
2010 – 2019
- 2019
- [i3]Benjamin Newman, Reuben Cohn-Gordon, Christopher Potts:
Communication-based Evaluation for Natural Language Generation. CoRR abs/1909.07290 (2019) - 2016
- [c1]Alexa R. Romberg, Yayun Zhang, Benjamin Newman, Jochen Triesch, Chen Yu:
Global and local statistical regularities control visual attention to object sequences. ICDL-EPIROB 2016: 262-267 - 2013
- [i2]Todd Davies, Benjamin Newman, Brendan O'Connor, Aaron Tam, Leo Perry:
Displaying Asynchronous Reactions to a Document: Two Goals and a Design. CoRR abs/1302.3545 (2013) - [i1]Todd Davies, Brendan O'Connor, Alex Cochran, Jonathan J. Effrat, Andrew Parker, Benjamin Newman, Aaron Tam:
An Online Environment for Democratic Deliberation: Motivations, Principles, and Design. CoRR abs/1302.3912 (2013)
Coauthor Index
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last updated on 2024-12-10 21:46 CET by the dblp team
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