Kyle Lo

According to our database, Kyle Lo authored at least 91 papers between 2018 and 2024.

Collaborative distances:

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

2024

Accelerating Scientific Paper Skimming with Augmented Intelligence Through Customizable Faceted Highlights.

Raymond Fok, Luca Soldaini, Cassidy Trier, Erin Bransom, Kelsey MacMillan, Evie Yu-Yen Cheng, Hita Kambhamettu, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Andrew Head, Daniel S. Weld

ACM Trans. Interact. Intell. Syst., December, 2024

The Semantic Reader Project.

Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld

Commun. ACM, October, 2024

OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs.

Akari Asai, Jacqueline He, Rulin Shao, Weijia Shi, Amanpreet Singh, Joseph Chee Chang, Kyle Lo, Luca Soldaini, Sergey Feldman, Mike D'Arcy, David Wadden, Matt Latzke, Minyang Tian, Pan Ji, Shengyan Liu, Hao Tong, Bohao Wu, Yanyu Xiong, Luke Zettlemoyer, Graham Neubig, Daniel S. Weld, Doug Downey, Wen-tau Yih, Pang Wei Koh, Hannaneh Hajishirzi

CoRR, 2024

Contextualized Evaluations: Taking the Guesswork Out of Language Model Evaluations.

Chaitanya Malaviya, Joseph Chee Chang, Dan Roth, Mohit Iyyer, Mark Yatskar, Kyle Lo

CoRR, 2024

LLMs as Research Tools: A Large Scale Survey of Researchers' Usage and Perceptions.

Zhehui Liao, Maria Antoniak, Inyoung Cheong, Evie Yu-Yen Cheng, Ai-Heng Lee, Kyle Lo, Joseph Chee Chang, Amy X. Zhang

CoRR, 2024

Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Multimodal Models.

Matt Deitke, Christopher Clark, Sangho Lee, Rohun Tripathi, Yue Yang, Jae Sung Park, Mohammadreza Salehi, Niklas Muennighoff, Kyle Lo, Luca Soldaini, Jiasen Lu, Taira Anderson, Erin Bransom, Kiana Ehsani, Huong Ngo, Yen-Sung Chen, Ajay Patel, Mark Yatskar, Chris Callison-Burch, Andrew Head, Rose Hendrix, Favyen Bastani, Eli VanderBilt, Nathan Lambert, Yvonne Chou, Arnavi Chheda, Jenna Sparks, Sam Skjonsberg, Michael Schmitz, Aaron Sarnat, Byron Bischoff, Pete Walsh, Chris Newell, Piper Wolters, Tanmay Gupta, Kuo-Hao Zeng, Jon Borchardt, Dirk Groeneveld, Jen Dumas, Crystal Nam, Sophie Lebrecht, Caitlin Wittlif, Carissa Schoenick, Oscar Michel, Ranjay Krishna, Luca Weihs, Noah A. Smith, Hannaneh Hajishirzi, Ross B. Girshick, Ali Farhadi, Aniruddha Kembhavi

CoRR, 2024

RouterRetriever: Exploring the Benefits of Routing over Multiple Expert Embedding Models.

Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo

CoRR, 2024

OLMoE: Open Mixture-of-Experts Language Models.

Niklas Muennighoff, Luca Soldaini, Dirk Groeneveld, Kyle Lo, Jacob Morrison, Sewon Min, Weijia Shi, Pete Walsh, Oyvind Tafjord, Nathan Lambert, Yuling Gu, Shane Arora, Akshita Bhagia, Dustin Schwenk, David Wadden, Alexander Wettig, Binyuan Hui, Tim Dettmers, Douwe Kiela, Ali Farhadi, Noah A. Smith, Pang Wei Koh, Amanpreet Singh, Hannaneh Hajishirzi

CoRR, 2024

Evaluating Language Model Math Reasoning via Grounding in Educational Curricula.

Li Lucy, Tal August, Rose E. Wang, Luca Soldaini, Courtney Allison, Kyle Lo

CoRR, 2024

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources.

Shayne Longpre, Stella Biderman, Alon Albalak, Hailey Schoelkopf, Daniel McDuff, Sayash Kapoor, Kevin Klyman, Kyle Lo, Gabriel Ilharco, Nay San, Maribeth Rauh, Aviya Skowron, Bertie Vidgen, Laura Weidinger, Arvind Narayanan, Victor Sanh, David Ifeoluwa Adelani, Percy Liang, Rishi Bommasani, Peter Henderson, Sasha Luccioni, Yacine Jernite, Luca Soldaini

CoRR, 2024

DataComp-LM: In search of the next generation of training sets for language models.

Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Kumar Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee F. Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah M. Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Raghavi Chandu, Thao Nguyen, Igor Vasiljevic, Sham M. Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar

CoRR, 2024

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature.

David Wadden, Kejian Shi, Jacob Morrison, Aakanksha Naik, Shruti Singh, Nitzan Barzilay, Kyle Lo, Tom Hope, Luca Soldaini, Shannon Zejiang Shen, Doug Downey, Hannaneh Hajishirzi, Arman Cohan

CoRR, 2024

FABLES: Evaluating faithfulness and content selection in book-length summarization.

Yekyung Kim, Yapei Chang, Marzena Karpinska, Aparna Garimella, Varun Manjunatha, Kyle Lo, Tanya Goyal, Mohit Iyyer

CoRR, 2024

FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions.

Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn J. Lawrie, Luca Soldaini

CoRR, 2024

OLMo: Accelerating the Science of Language Models.

Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 2024

BooookScore: A systematic exploration of book-length summarization in the era of LLMs.

Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer

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

MathFish: Evaluating Language Model Math Reasoning via Grounding in Educational Curricula.

Li Lucy, Tal August, Rose E. Wang, Luca Soldaini, Courtney Allison, Kyle Lo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

One Thousand and One Pairs: A "novel" challenge for long-context language models.

Marzena Karpinska, Katherine Thai, Kyle Lo, Tanya Goyal, Mohit Iyyer

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

When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets.

Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience.

Tal August, Kyle Lo, Noah A. Smith, Katharina Reinecke

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions.

Fangyuan Xu, Kyle Lo, Luca Soldaini, Bailey Kuehl, Eunsol Choi, David Wadden

Proceedings of the Findings of the Association for Computational Linguistics, 2024

InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification.

Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

OLMo: Accelerating the Science of Language Models.

Dirk Groeneveld, Iz Beltagy, Evan Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

LIMEADE: From AI Explanations to Advice Taking.

Benjamin Charles Germain Lee, Doug Downey, Kyle Lo, Daniel S. Weld

ACM Trans. Interact. Intell. Syst., December, 2023

Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing.

Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo

ACM Trans. Comput. Hum. Interact., October, 2023

Paloma: A Benchmark for Evaluating Language Model Fit.

Ian Magnusson, Akshita Bhagia, Valentin Hofmann, Luca Soldaini, Ananya Harsh Jha, Oyvind Tafjord, Dustin Schwenk, Evan Pete Walsh, Yanai Elazar, Kyle Lo, Dirk Groeneveld, Iz Beltagy, Hannaneh Hajishirzi, Noah A. Smith, Kyle Richardson, Jesse Dodge

CoRR, 2023

Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders.

Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo

CoRR, 2023

The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices.

Hancheng Cao, Jesse Dodge, Kyle Lo, Daniel A. McFarland, Lucy Lu Wang

CoRR, 2023

Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation.

Hao Peng, Qingqing Cao, Jesse Dodge, Matthew E. Peters, Jared Fernandez, Tom Sherborne, Kyle Lo, Sam Skjonsberg, Emma Strubell, Darrell Plessas, Iz Beltagy, Evan Pete Walsh, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 2023

A Controllable QA-based Framework for Decontextualization.

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

CoRR, 2023

Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction.

Anna Martin-Boyle, Andrew Head, Kyle Lo, Risham Sidhu, Marti A. Hearst, Dongyeop Kang

CoRR, 2023

Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks.

Zejiang Shen, Tal August, Pao Siangliulue, Kyle Lo, Jonathan Bragg, Jeff Hammerbacher, Doug Downey, Joseph Chee Chang, David A. Sontag

CoRR, 2023

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces.

Kyle Lo, Joseph Chee Chang, Andrew Head, Jonathan Bragg, Amy X. Zhang, Cassidy Trier, Chloe Anastasiades, Tal August, Russell Authur, Danielle Bragg, Erin Bransom, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Yen-Sung Chen, Evie Yu-Yen Cheng, Yvonne Chou, Doug Downey, Rob Evans, Raymond Fok, Fangzhou Hu, Regan Huff, Dongyeop Kang, Tae Soo Kim, Rodney Kinney, Aniket Kittur, Hyeonsu B. Kang, Egor Klevak, Bailey Kuehl, Michael Langan, Matt Latzke, Jaron Lochner, Kelsey MacMillan, Eric Marsh, Tyler Murray, Aakanksha Naik, Ngoc-Uyen Nguyen, Srishti Palani, Soya Park, Caroline Paulic, Napol Rachatasumrit, Smita Rao, Paul Sayre, Zejiang Shen, Pao Siangliulue, Luca Soldaini, Huy Tran, Madeleine van Zuylen, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Marti A. Hearst, Daniel S. Weld

CoRR, 2023

The Semantic Scholar Open Data Platform.

Rodney Kinney, Chloe Anastasiades, Russell Authur, Iz Beltagy, Jonathan Bragg, Alexandra Buraczynski, Isabel Cachola, Stefan Candra, Yoganand Chandrasekhar, Arman Cohan, Miles Crawford, Doug Downey, Jason Dunkelberger, Oren Etzioni, Rob Evans, Sergey Feldman, Joseph Gorney, David Graham, Fangzhou Hu, Regan Huff, Daniel King, Sebastian Kohlmeier, Bailey Kuehl, Michael Langan, Daniel Lin, Haokun Liu, Kyle Lo, Jaron Lochner, Kelsey MacMillan, Tyler Murray, Chris Newell, Smita Rao, Shaurya Rohatgi, Paul Sayre, Zejiang Shen, Amanpreet Singh, Luca Soldaini, Shivashankar Subramanian, Amber Tanaka, Alex D. Wade, Linda Wagner, Lucy Lu Wang, Chris Wilhelm, Caroline Wu, Jiangjiang Yang, Angele Zamarron, Madeleine van Zuylen, Daniel S. Weld

CoRR, 2023

Scim: Intelligent Skimming Support for Scientific Papers.

Raymond Fok, Hita Kambhamettu, Luca Soldaini, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Andrew Head, Daniel S. Weld

Proceedings of the 28th International Conference on Intelligent User Interfaces, 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

Decomposing Complex Queries for Tip-of-the-tongue Retrieval.

Kevin Lin, Kyle Lo, Joseph Gonzalez, Dan Klein

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval.

John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization.

Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context.

Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld

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

Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents.

Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups.

Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey

Trans. Assoc. Comput. Linguistics, 2022

Exploring the Challenges of Open Domain Multi-Document Summarization.

John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan

CoRR, 2022

Data Governance in the Age of Large-Scale Data-Driven Language Technology.

Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Isaac Johnson, Dragomir R. Radev, Somaieh Nikpoor, Jörg Frohberg, Aaron Gokaslan, Peter Henderson, Rishi Bommasani, Margaret Mitchell

CoRR, 2022

Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers.

Raymond Fok, Andrew Head, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Daniel S. Weld

CoRR, 2022

Infrastructure for Rapid Open Knowledge Network Development.

Michael J. Cafarella, Michael R. Anderson, Iz Beltagy, Arie Cattan, Sarah E. Chasins, Ido Dagan, Doug Downey, Oren Etzioni, Sergey Feldman, Tian Gao, Tom Hope, Kexin Huang, Sophie Johnson, Daniel King, Kyle Lo, Yuze Lou, Matthew D. Shapiro, Dinghao Shen, Shivashankar Subramanian, Lucy Lu Wang, Yuning Wang, Yitong Wang, Daniel S. Weld, Jenny M. Vo-Phamhi, Anna Zeng, Jiayun Zou

AI Mag., 2022

Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple Granularities.

Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, Doug Downey

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset.

Hugo Laurençon, Lucile Saulnier, Thomas Wang, Christopher Akiki, Albert Villanova del Moral, Teven Le Scao, Leandro von Werra, Chenghao Mou, Eduardo González Ponferrada, Huu Nguyen, Jörg Frohberg, Mario Sasko, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MultiVerS: Improving scientific claim verification with weak supervision and full-document context.

David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting.

Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, Arman Cohan, David Jurgens, Kyle Lo

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Data Governance in the Age of Large-Scale Data-Driven Language Technology.

Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gérard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

SciFact-Open: Towards open-domain scientific claim verification.

David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts.

Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Overview of the Third Workshop on Scholarly Document Processing.

Arman Cohan, Guy Feigenblat, Dayne Freitag, Tirthankar Ghosal, Drahomira Herrmannova, Petr Knoth, Kyle Lo, Philipp Mayr, Michal Shmueli-Scheuer, Anita de Waard, Lucy Lu Wang

Proceedings of the Third Workshop on Scholarly Document Processing, 2022

Exploring the Role of Local and Global Explanations in Recommender Systems.

Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

Generating Scientific Claims for Zero-Shot Scientific Fact Checking.

Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Searching for scientific evidence in a pandemic: An overview of TREC-COVID.

Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen M. Voorhees, Lucy Lu Wang, William R. Hersh

J. Biomed. Informatics, 2021

Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World.

Farshad Firouzi, Bahareh J. Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen Angelov, Eduardo A. Soares, Po-Shen Loh, Zeynab Talebpour, Reza Moradi, Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza Talebpour, Luca Romeo, Rupam Das, Hadi Heidari, Dana K. Pasquale, James Moody, Chris Woods, Erich S. Huang, Payam M. Barnaghi, Majid Sarrafzadeh, Ron C. Li, Kristen L. Beck, Olexandr Isayev, NakMyoung Sung, Alan Luo

IEEE Internet Things J., 2021

LongChecker: Improving scientific claim verification by modeling full-abstract context.

David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi

CoRR, 2021

Overview and Insights from the SciVer Shared Task on Scientific Claim Verification.

David Wadden, Kyle Lo

CoRR, 2021

Incorporating Visual Layout Structures for Scientific Text Classification.

Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey

CoRR, 2021

Text mining approaches for dealing with the rapidly expanding literature on COVID-19.

Lucy Lu Wang, Kyle Lo

Briefings Bioinform., 2021

FLEX: Unifying Evaluation for Few-Shot NLP.

Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers.

Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner

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

Discourse Understanding and Factual Consistency in Abstractive Summarization.

Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols.

Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Explaining Relationships Between Scientific Documents.

Kelvin Luu, Xinyi Wu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

TREC-COVID: constructing a pandemic information retrieval test collection.

Ellen M. Voorhees, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, William R. Hersh, Kyle Lo, Kirk Roberts, Ian Soboroff, Lucy Lu Wang

SIGIR Forum, 2020

TREC-COVID: rationale and structure of an information retrieval shared task for COVID-19.

Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen M. Voorhees, Lucy Lu Wang, William R. Hersh

J. Am. Medical Informatics Assoc., 2020

Mitigating Biases in CORD-19 for Analyzing COVID-19 Literature.

Anshul Kanakia, Kuansan Wang, Yuxiao Dong, Boya Xie, Kyle Lo, Zhihong Shen, Lucy Lu Wang, Chiyuan Huang, Darrin Eide, Sebastian Kohlmeier, Chieh-Han Wu

Frontiers Res. Metrics Anal., 2020

CORD-19: The Covid-19 Open Research Dataset.

Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Darrin Eide, Kathryn Funk, Rodney Kinney, Ziyang Liu, William Merrill, Paul Mooney, Dewey A. Murdick, Devvret Rishi, Jerry Sheehan, Zhihong Shen, Brandon Stilson, Alex D. Wade, Kuansan Wang, Chris Wilhelm, Boya Xie, Douglas Raymond, Daniel S. Weld, Oren Etzioni, Sebastian Kohlmeier

CoRR, 2020

Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation.

Benjamin Charles Germain Lee, Kyle Lo, Doug Downey, Daniel S. Weld

CoRR, 2020

Citation Text Generation.

Kelvin Luu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith

CoRR, 2020

Fact or Fiction: Verifying Scientific Claims.

David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions.

Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst

Proceedings of the First Workshop on Scholarly Document Processing, 2020

TLDR: Extreme Summarization of Scientific Documents.

Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

The COVID-19 Open Research Dataset - Abstract.

Lucy Lu Wang, Kyle Lo

Proceedings of the Workshop on Semantic Indexing and Information Retrieval for Health from heterogeneous content types and languages co-located with 42nd European Conference on Information Retrieval, 2020

S2ORC: The Semantic Scholar Open Research Corpus.

Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel S. Weld

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

GORC: A large contextual citation graph of academic papers.

Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel S. Weld

CoRR, 2019

Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow.

Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi

CoRR, 2019

SciBERT: Pretrained Contextualized Embeddings for Scientific Text.

Iz Beltagy, Arman Cohan, Kyle Lo

CoRR, 2019

Combining Distant and Direct Supervision for Neural Relation Extraction.

Iz Beltagy, Kyle Lo, Waleed Ammar

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

SciBERT: A Pretrained Language Model for Scientific Text.

Iz Beltagy, Kyle Lo, Arman Cohan

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Improving Distant Supervision with Maxpooled Attention and Sentence-Level Supervision.

Iz Beltagy, Kyle Lo, Waleed Ammar

CoRR, 2018

Citation Count Analysis for Papers with Preprints.

Sergey Feldman, Kyle Lo, Waleed Ammar

CoRR, 2018

Construction of the Literature Graph in Semantic Scholar.

Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew E. Peters, Joanna Power, Sam Skjonsberg, Lucy Lu Wang, Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, Oren Etzioni

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Ontology alignment in the biomedical domain using entity definitions and context.

Lucy Lu Wang, Chandra Bhagavatula, Mark Neumann, Kyle Lo, Chris Wilhelm, Waleed Ammar

Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018, 2018