Kyle Lo

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 108

Top Venues

Publications

Tal August, Kyle Lo, Noah A. Smith, Katharina Reinecke
Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience. CHI (2024)
Fangyuan Xu, Kyle Lo, Luca Soldaini, Bailey Kuehl, Eunsol Choi, David Wadden
KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions. CoRR (2024)
Orion Weller, Benjamin Chang, Sean MacAvaney, Kyle Lo, Arman Cohan, Benjamin Van Durme, Dawn J. Lawrie, Luca Soldaini
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions. CoRR (2024)
Fangyuan Xu, Kyle Lo, Luca Soldaini, Bailey Kuehl, Eunsol Choi, David Wadden
KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions. ACL (Findings) (2024)
Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer
BooookScore: A systematic exploration of book-length summarization in the era of LLMs. ICLR (2024)
Yekyung Kim, Yapei Chang, Marzena Karpinska, Aparna Garimella, Varun Manjunatha, Kyle Lo, Tanya Goyal, Mohit Iyyer
FABLES: Evaluating faithfulness and content selection in book-length summarization. CoRR (2024)
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
OLMo: Accelerating the Science of Language Models. CoRR (2024)
Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. CoRR (2024)
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
The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources. CoRR (2024)
Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Yitzhak Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee 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
DataComp-LM: In search of the next generation of training sets for language models. CoRR (2024)
Tal August, Kyle Lo, Noah A. Smith, Katharina Reinecke
Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience. CoRR (2024)
Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. EACL (Findings) (2024)
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
SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature. CoRR (2024)
Jan Trienes, Sebastian Joseph, Jörg Schlötterer, Christin Seifert, Kyle Lo, Wei Xu, Byron C. Wallace, Junyi Jessy Li
InfoLossQA: Characterizing and Recovering Information Loss in Text Simplification. ACL (1) (2024)
Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi 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 (2024)
Marzena Karpinska, Katherine Thai, Kyle Lo, Tanya Goyal, Mohit Iyyer
One Thousand and One Pairs: A "novel" challenge for long-context language models. CoRR (2024)
John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan
Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval. EMNLP (Findings) (2023)
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
The Semantic Scholar Open Data Platform. CoRR (2023)
Hancheng Cao, Jesse Dodge, Kyle Lo, Daniel A. McFarland, Lucy Lu Wang
The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices. CoRR (2023)
Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. ACL (Findings) (2023)
Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo
A Question Answering Framework for Decontextualizing User-facing Snippets from Scientific Documents. EMNLP (2023)
Zejiang Shen, Tal August, Pao Siangliulue, Kyle Lo, Jonathan Bragg, Jeff Hammerbacher, Doug Downey, Joseph Chee Chang, David Sontag
Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks. CoRR (2023)
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
Paloma: A Benchmark for Evaluating Language Model Fit. CoRR (2023)
Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. CoRR (2023)
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
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation. CoRR (2023)
Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo
Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing. ACM Trans. Comput. Hum. Interact. 30 (5) (2023)
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
The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces. CoRR (2023)
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, Sasha Luccioni, Yacine Jernite
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. CoRR (2023)
Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer
BooookScore: A systematic exploration of book-length summarization in the era of LLMs. CoRR (2023)
Benjamin Newman, Luca Soldaini, Raymond Fok, Arman Cohan, Kyle Lo
A Controllable QA-based Framework for Decontextualization. CoRR (2023)
Raymond Fok, Hita Kambhamettu, Luca Soldaini, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Andrew Head, Daniel S. Weld
Scim: Intelligent Skimming Support for Scientific Papers. IUI (2023)
Anna Martin-Boyle, Andrew Head, Kyle Lo, Risham Sidhu, Marti A. Hearst, Dongyeop Kang
Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction. CoRR (2023)
Hyunji Lee, Luca Soldaini, Arman Cohan, Minjoon Seo, Kyle Lo
Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders. CoRR (2023)
Kevin Lin, Kyle Lo, Joseph E. Gonzalez, Dan Klein
Decomposing Complex Queries for Tip-of-the-tongue Retrieval. CoRR (2023)
Kevin Lin, Kyle Lo, Joseph Gonzalez, Dan Klein
Decomposing Complex Queries for Tip-of-the-tongue Retrieval. EMNLP (Findings) (2023)
Benjamin Charles Germain Lee, Doug Downey, Kyle Lo, Daniel S. Weld
LIMEADE: From AI Explanations to Advice Taking. ACM Trans. Interact. Intell. Syst. 13 (4) (2023)
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)
Orion Weller, Kyle Lo, David Wadden, Dawn J. Lawrie, Benjamin Van Durme, Arman Cohan, Luca Soldaini
When do Generative Query and Document Expansions Fail? A Comprehensive Study Across Methods, Retrievers, and Datasets. CoRR (2023)
Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. EACL (2023)
Catherine Chen, Zejiang Shen, Dan Klein, Gabriel Stanovsky, Doug Downey, Kyle Lo
Are Layout-Infused Language Models Robust to Layout Distribution Shifts? A Case Study with Scientific Documents. CoRR (2023)
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context. CoRR (2023)
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context. CHI (2023)
Jörg Peters, Kyle Lo, Kestutis Karciauskas
Algorithm 1032: Bi-cubic Splines for Polyhedral Control Nets. ACM Trans. Math. Softw. 49 (1) (2023)
Raymond Fok, Andrew Head, Jonathan Bragg, Kyle Lo, Marti A. Hearst, Daniel S. Weld
Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers. CoRR (2022)
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
Infrastructure for Rapid Open Knowledge Network Development. AI Mag. 43 (1) (2022)
Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. EMNLP (Demos) (2022)
David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi
SciFact-Open: Towards open-domain scientific claim verification. CoRR (2022)
Tal August, Lucy Lu Wang, Jonathan Bragg, Marti A. Hearst, Andrew Head, Kyle Lo
Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing. CoRR (2022)
Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, Doug Downey
Multi-LexSum: Real-World Summaries of Civil Rights Lawsuits at Multiple Granularities. CoRR (2022)
Zejiang Shen, Kyle Lo, Lauren Yu, Nathan Dahlberg, Margo Schlanger, Doug Downey
Multi-LexSum: Real-world Summaries of Civil Rights Lawsuits at Multiple Granularities. NeurIPS (2022)
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
Overview of the Third Workshop on Scholarly Document Processing. SDP@COLING (2022)
David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi
MultiVerS: Improving scientific claim verification with weak supervision and full-document context. NAACL-HLT (Findings) (2022)
Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld
Exploring the Role of Local and Global Explanations in Recommender Systems. CHI Extended Abstracts (2022)
Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey
VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups. Trans. Assoc. Comput. Linguistics 10 (2022)
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
Data Governance in the Age of Large-Scale Data-Driven Language Technology. CoRR (2022)
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. ACL (1) (2022)
Sonia K. Murthy, Kyle Lo, Daniel King, Chandra Bhagavatula, Bailey Kuehl, Sophie Johnson, Jonathan Borchardt, Daniel S. Weld, Tom Hope, Doug Downey
ACCoRD: A Multi-Document Approach to Generating Diverse Descriptions of Scientific Concepts. CoRR (2022)
David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Iz Beltagy, Lucy Lu Wang, Hannaneh Hajishirzi
SciFact-Open: Towards open-domain scientific claim verification. EMNLP (Findings) (2022)
John M. Giorgi, Luca Soldaini, Bo Wang, Gary D. Bader, Kyle Lo, Lucy Lu Wang, Arman Cohan
Exploring the Challenges of Open Domain Multi-Document Summarization. CoRR (2022)
Yacine Jernite, Huu Nguyen, Stella Biderman, Anna Rogers, Maraim Masoud, Valentin Danchev, Samson Tan, Alexandra Sasha Luccioni, Nishant Subramani, Isaac Johnson, Gerard Dupont, Jesse Dodge, Kyle Lo, Zeerak Talat, Dragomir R. Radev, Aaron Gokaslan, Somaieh Nikpoor, Peter Henderson, Rishi Bommasani, Margaret Mitchell
Data Governance in the Age of Large-Scale Data-Driven Language Technology. FAccT (2022)
Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, Arman Cohan, David Jurgens, Kyle Lo
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting. NAACL-HLT (2022)
Dustin Wright, David Wadden, Kyle Lo, Bailey Kuehl, Arman Cohan, Isabelle Augenstein, Lucy Lu Wang
Generating Scientific Claims for Zero-Shot Scientific Fact Checking. CoRR (2022)
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
The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. NeurIPS (2022)
Farshad Firouzi, Bahareh J. Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen P. 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 Li, Kristen L. Beck, Olexandr Isayev, NakMyoung Sung, Alan Luo
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. IEEE Internet Things J. 8 (16) (2021)
Anne Lauscher, Brandon Ko, Bailey Kuehl, Sophie Johnson, David Jurgens, Arman Cohan, Kyle Lo
MultiCite: Modeling realistic citations requires moving beyond the single-sentence single-label setting. CoRR (2021)
Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy
FLEX: Unifying Evaluation for Few-Shot NLP. NeurIPS (2021)
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. NAACL-HLT (2021)
Saadia Gabriel, Antoine Bosselut, Jeff Da, Ari Holtzman, Jan Buys, Kyle Lo, Asli Celikyilmaz, Yejin Choi
Discourse Understanding and Factual Consistency in Abstractive Summarization. EACL (2021)
David Wadden, Kyle Lo
Overview and Insights from the SciVer Shared Task on Scientific Claim Verification. CoRR (2021)
Marissa Radensky, Doug Downey, Kyle Lo, Zoran Popovic, Daniel S. Weld
Exploring The Role of Local and Global Explanations in Recommender Systems. CoRR (2021)
Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen M. Voorhees, Lucy Lu Wang, William R. Hersh
Searching for scientific evidence in a pandemic: An overview of TREC-COVID. J. Biomed. Informatics 121 (2021)
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. CoRR (2021)
Lucy Lu Wang, Kyle Lo
Text mining approaches for dealing with the rapidly expanding literature on COVID-19. Briefings Bioinform. 22 (2) (2021)
Jonathan Bragg, Arman Cohan, Kyle Lo, Iz Beltagy
FLEX: Unifying Evaluation for Few-Shot NLP. CoRR (2021)
Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen M. Voorhees, Lucy Lu Wang, William R. Hersh
Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID. CoRR (2021)
Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst
Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols. CHI (2021)
Zejiang Shen, Kyle Lo, Lucy Lu Wang, Bailey Kuehl, Daniel S. Weld, Doug Downey
Incorporating Visual Layout Structures for Scientific Text Classification. CoRR (2021)
David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, Hannaneh Hajishirzi
LongChecker: Improving scientific claim verification by modeling full-abstract context. CoRR (2021)
Kelvin Luu, Xinyi Wu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith
Explaining Relationships Between Scientific Documents. ACL/IJCNLP (1) (2021)
Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions. CoRR (2020)
Lucy Lu Wang, Kyle Lo
The COVID-19 Open Research Dataset - Abstract. SIIRH@ECIR (2020)
David Wadden, Kyle Lo, Lucy Lu Wang, Shanchuan Lin, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi
Fact or Fiction: Verifying Scientific Claims. CoRR (2020)
Ellen M. Voorhees, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, William R. Hersh, Kyle Lo, Kirk Roberts, Ian Soboroff, Lucy Lu Wang
TREC-COVID: constructing a pandemic information retrieval test collection. SIGIR Forum 54 (1) (2020)
Dongyeop Kang, Andrew Head, Risham Sidhu, Kyle Lo, Daniel S. Weld, Marti A. Hearst
Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions. SDP@EMNLP (2020)
Kyle Lo, Lucy Lu Wang, Mark Neumann, Rodney Kinney, Daniel S. Weld
S2ORC: The Semantic Scholar Open Research Corpus. ACL (2020)
Kirk Roberts, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, Kyle Lo, Ian Soboroff, Ellen M. Voorhees, Lucy Lu Wang, William R. Hersh
TREC-COVID: rationale and structure of an information retrieval shared task for COVID-19. J. Am. Medical Informatics Assoc. 27 (9) (2020)
Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. CoRR (2020)
Benjamin Charles Germain Lee, Kyle Lo, Doug Downey, Daniel S. Weld
Explanation-Based Tuning of Opaque Machine Learners with Application to Paper Recommendation. CoRR (2020)
Ellen M. Voorhees, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, William R. Hersh, Kyle Lo, Kirk Roberts, Ian Soboroff, Lucy Lu Wang
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection. CoRR (2020)
Suchin Gururangan, Ana Marasovic, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, Noah A. Smith
Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. ACL (2020)
Anshul Kanakia, Kuansan Wang, Yuxiao Dong, Boya Xie, Kyle Lo, Zhihong Shen, Lucy Lu Wang, Chiyuan Huang, Darrin Eide, Sebastian Kohlmeier, Chieh-Han Wu
Mitigating Biases in CORD-19 for Analyzing COVID-19 Literature. Frontiers Res. Metrics Anal. 5 (2020)
Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld
TLDR: Extreme Summarization of Scientific Documents. EMNLP (Findings) (2020)
Isabel Cachola, Kyle Lo, Arman Cohan, Daniel S. Weld
TLDR: Extreme Summarization of Scientific Documents. CoRR (2020)
Kelvin Luu, Rik Koncel-Kedziorski, Kyle Lo, Isabel Cachola, Noah A. Smith
Citation Text Generation. CoRR (2020)
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
CORD-19: The Covid-19 Open Research Dataset. CoRR (2020)
Andrew Head, Kyle Lo, Dongyeop Kang, Raymond Fok, Sam Skjonsberg, Daniel S. Weld, Marti A. Hearst
Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols. CoRR (2020)
David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, Hannaneh Hajishirzi
Fact or Fiction: Verifying Scientific Claims. EMNLP (1) (2020)
Saadia Gabriel, Antoine Bosselut, Ari Holtzman, Kyle Lo, Asli Celikyilmaz, Yejin Choi
Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow. CoRR (2019)
Iz Beltagy, Kyle Lo, Waleed Ammar
Combining Distant and Direct Supervision for Neural Relation Extraction. NAACL-HLT (1) (2019)
Iz Beltagy, Kyle Lo, Arman Cohan
SciBERT: A Pretrained Language Model for Scientific Text. EMNLP/IJCNLP (1) (2019)

Kyle Lo.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kyle Lo