Benjamin Newman

According to our database, Benjamin Newman authored at least 19 papers between 2013 and 2024.

Collaborative distances:

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

2024

WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries.

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

CoRR, 2024

Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics?

Rachel Edelstein, Sterling Gutterman, Benjamin Newman, John Darrell Van Horn

CoRR, 2024

The Generative AI Paradox: "What It Can Create, It May Not Understand".

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ArxivDIGESTables: Synthesizing Scientific Literature into Tables using Language Models.

Benjamin Newman, Yoonjoo Lee, Aakanksha Naik, Pao Siangliulue, Raymond Fok, Juho Kim, Daniel S. Weld, Joseph Chee Chang, Kyle Lo

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

2023

Editorial: Is Now the Time for Foundational Theory of Brain Connectivity?

John Darrell Van Horn, Zachary J. Jacokes, Benjamin Newman, Teague Henry

Neuroinformatics, October, 2023

Holistic Evaluation of Language Models.

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

Trans. Mach. Learn. Res., 2023

A Controllable QA-based Framework for Decontextualization.

Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo

CoRR, 2023

A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents.

Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo

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

PaperMage: A Unified Toolkit for Processing, Representing, and Manipulating Visually-Rich Scientific Documents.

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

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

Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication.

Liye Fu, Benjamin Newman, Maurice Jakesch, Sarah Kreps

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022

Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging.

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

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

P-Adapters: Robustly Extracting Factual Information from Language Models with Diverse Prompts.

Benjamin Newman, Prafulla Kumar Choubey, Nazneen Rajani

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Refining Targeted Syntactic Evaluation of Language Models.

Benjamin Newman, Kai-Siang Ang, Julia Gong, John Hewitt

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Optimal Assistance for Object-Rearrangement Tasks in Augmented Reality.

Benjamin Newman, Kevin Carlberg, Ruta Desai

CoRR, 2020

The EOS Decision and Length Extrapolation.

Benjamin Newman, John Hewitt, Percy Liang, Christopher D. Manning

Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2020

2019

Communication-based Evaluation for Natural Language Generation.

Benjamin Newman, Reuben Cohn-Gordon, Christopher Potts

CoRR, 2019

2016

Global and local statistical regularities control visual attention to object sequences.

Alexa R. Romberg, Yayun Zhang, Benjamin Newman, Jochen Triesch, Chen Yu

Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

2013

An Online Environment for Democratic Deliberation: Motivations, Principles, and Design

Todd Davies, Brendan O'Connor, Alex Cochran, Jonathan J. Effrat, Andrew Parker, Benjamin Newman, Aaron Tam

CoRR, 2013

Displaying Asynchronous Reactions to a Document: Two Goals and a Design

Todd Davies, Benjamin Newman, Brendan O'Connor, Aaron Tam, Leo Perry

CoRR, 2013