Assessment of Alterations in the Electrical Impedance of Muscle After Experimental Nerve Injury via Finite-Element Analysis. - Lucy Lu Wang; Mohammad Ahad; Alistair Lee McEwan; Jia Li 052; Mina Jafarpoor; Seward B. Rutkove (IEEE Trans. Biomed. Eng., 2011)

Biological Model Development as an Opportunity to Provide Content Auditing for the Foundational Model of Anatomy Ontology. - Lucy Lu Wang; Eli Grunblatt; Hyunggu Jung; Ira Kalet; Mark Whipple (AMIA, 2015)

Development of a discharge ontology to support postanesthesia discharge decision making. - Lucy Lu Wang; Yong Choi (ICBO, 2015)

Development of a Novel Markov Chain Model for the Prediction of Head and Neck Squamous Cell Carcinoma Dissemination. - Hyunggu Jung; Anthony Law; Eli Grunblatt; Lucy Lu Wang; Aaron S. Kusano; José L. V. Mejino Jr.; Mark Whipple (AMIA, 2016)

Discovering representational differences between pathway knowledge bases for pathway resource merging. - Lucy Lu Wang; John H. Gennari; Neil F. Abernethy (AMIA, 2016)

Auditing tree-like organ systems in the FMA using network motifs. - Lucy Lu Wang; Eli Grunblatt; Mark Whipple (AMIA, 2016)

An Analysis of Differences in Biological Pathway Resources. - Lucy Lu Wang; John H. Gennari; Neil F. Abernethy (ICBO/BioCreative, 2016)

Similarity Metrics for Determining Overlap Among Biological Pathways. - Lucy Lu Wang; John H. Gennari (ICBO, 2017)

Quantifying the effects of gene entity disambiguation for GSEA. - Lucy Lu Wang; John H. Gennari (AMIA, 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 (BioNLP, 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; et al. (NAACL-HLT (3), 2018)

Predicting instances of pathway ontology classes for pathway integration. - Lucy Lu Wang; G. Thomas Hayman; Jennifer R. Smith; Monika Tutaj; Mary Shimoyama; John H. Gennari (J. Biomed. Semant., 2019)

Extracting evidence of supplement-drug interactions from literature. - Lucy Lu Wang; Oyvind Tafjord; Sarthak Jain; Arman Cohan; Sam Skjonsberg; Carissa Schoenick; Nick Botner; Waleed Ammar (CoRR, 2019)

GORC: A large contextual citation graph of academic papers. - Kyle Lo; Lucy Lu Wang; Mark Neumann; Rodney Kinney; Daniel S. Weld (CoRR, 2019)

S2ORC: The Semantic Scholar Open Research Corpus. - Kyle Lo; Lucy Lu Wang; Mark Neumann; Rodney Kinney; Daniel S. Weld (ACL, 2020)

SUPP.AI: finding evidence for supplement-drug interactions. - Lucy Lu Wang; Oyvind Tafjord; Arman Cohan; Sarthak Jain; Sam Skjonsberg; Carissa Schoenick; Nick Botner; Waleed Ammar (ACL (demo), 2020)

The COVID-19 Open Research Dataset - Abstract. - Lucy Lu Wang; Kyle Lo (SIIRH@ECIR, 2020)

MedICaT: A Dataset of Medical Images, Captions, and Textual References. - Sanjay Subramanian; Lucy Lu Wang; Ben Bogin; Sachin Mehta; Madeleine van Zuylen; Sravanthi Parasa; Sameer Singh 001; Matt Gardner 001; Hannaneh Hajishirzi (EMNLP (Findings), 2020)

Fact or Fiction: Verifying Scientific Claims. - David Wadden; Shanchuan Lin; Kyle Lo; Lucy Lu Wang; Madeleine van Zuylen; Arman Cohan; Hannaneh Hajishirzi (EMNLP (1), 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; et al. (CoRR, 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)

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)

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)

SciA11y: Converting Scientific Papers to Accessible HTML. - Lucy Lu Wang; Isabel Cachola; Jonathan Bragg; Evie Yu-Yen Cheng; Chelsea Haupt; Matt Latzke; Bailey Kuehl; Madeleine N. van Zuylen; Linda Wagner; Daniel S. Weld (ASSETS, 2021)

What Do We Mean by "Accessibility Research"?: A Literature Survey of Accessibility Papers in CHI and ASSETS from 1994 to 2019. - Kelly Mack; Emma McDonnell; Dhruv Jain; Lucy Lu Wang; Jon E. Froehlich; Leah Findlater (CHI, 2021)

A bibliometric analysis of citation diversity in accessibility and HCI research. - Lucy Lu Wang; Kelly Mack; Emma J. McDonnell; Dhruv Jain; Leah Findlater; Jon E. Froehlich (CHI Extended Abstracts, 2021)

MS ^2: Multi-Document Summarization of Medical Studies. - Jay DeYoung; Iz Beltagy; Madeleine van Zuylen; Bailey Kuehl; Lucy Lu Wang (EMNLP (1), 2021)

Text mining approaches for dealing with the rapidly expanding literature on COVID-19. - Lucy Lu Wang; Kyle Lo (Briefings Bioinform., 2021)

Gender trends in computer science authorship. - Lucy Lu Wang; Gabriel Stanovsky; Luca Weihs; Oren Etzioni (Commun. ACM, 2021)

MS2: Multi-Document Summarization of Medical Studies. - Jay DeYoung; Iz Beltagy; Madeleine van Zuylen; Bailey Kuehl; Lucy Lu Wang (CoRR, 2021)

Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users. - Lucy Lu Wang; Isabel Cachola; Jonathan Bragg; Evie Yu-Yen Cheng; Chelsea Haupt; Matt Latzke; Bailey Kuehl; Madeleine van Zuylen; Linda Wagner; Daniel S. Weld (CoRR, 2021)

Incorporating Visual Layout Structures for Scientific Text Classification. - Zejiang Shen 001; Kyle Lo; Lucy Lu Wang; Bailey Kuehl; Daniel S. Weld; Doug Downey (CoRR, 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)

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 001; Eduardo A. Soares 001; Po-Shen Loh; Zeynab Talebpour; et al. (IEEE Internet Things J., 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)

Generating Scientific Claims for Zero-Shot Scientific Fact Checking. - Dustin Wright 001; David Wadden; Kyle Lo; Bailey Kuehl; Arman Cohan; Isabelle Augenstein; Lucy Lu Wang (ACL (1), 2022)

A Dataset of Alt Texts from HCI Publications: Analyses and Uses Towards Producing More Descriptive Alt Texts of Data Visualizations in Scientific Papers. - Sanjana Shivani Chintalapati; Jonathan Bragg; Lucy Lu Wang (ASSETS, 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 001; Michal Shmueli-Scheuer; Anita de Waard; Lucy Lu Wang (SDP@COLING, 2022)

Overview of MSLR2022: A Shared Task on Multi-document Summarization for Literature Reviews. - Lucy Lu Wang; Jay DeYoung; Byron C. Wallace (SDP@COLING, 2022)

SciFact-Open: Towards open-domain scientific claim verification. - David Wadden; Kyle Lo; Bailey Kuehl; Arman Cohan; Iz Beltagy; Lucy Lu Wang; Hannaneh Hajishirzi (EMNLP (Findings), 2022)

Literature-Augmented Clinical Outcome Prediction. - Aakanksha Naik; Sravanthi Parasa; Sergey Feldman; Lucy Lu Wang; Tom Hope (NAACL-HLT (Findings), 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 (NAACL-HLT (Findings), 2022)

The International Workshop on Semantics-enabled Biomedical Literature Analytics (SeBiLAn). - Faezeh Ensan; Halil Kilicoglu; Bridget T. McInnes; Lucy Lu Wang (WWW (Companion Volume), 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; et al. (AI Mag., 2022)

Exploring the Challenges of Open Domain Multi-Document Summarization. - John M. Giorgi; Luca Soldaini; Bo Wang 044; Gary D. Bader; Kyle Lo; Lucy Lu Wang; Arman Cohan (CoRR, 2022)

Call for papers: Semantics-enabled biomedical literature analytics. - Halil Kilicoglu; Faezeh Ensan; Bridget T. McInnes; Lucy Lu Wang (J. Biomed. Informatics, 2022)

VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups. - Zejiang Shen 001; Kyle Lo; Lucy Lu Wang; Bailey Kuehl; Daniel S. Weld; Doug Downey (Trans. Assoc. Comput. Linguistics, 2022)

Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations. - Lucy Lu Wang; Yulia Otmakhova 001; Jay DeYoung; Thinh Hung Truong; Bailey Kuehl; Erin Bransom; Byron C. Wallace (ACL (1), 2023)

Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval. - John M. Giorgi; Luca Soldaini; Bo Wang 044; Gary D. Bader; Kyle Lo; Lucy Lu Wang; Arman Cohan (EMNLP (Findings), 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; et al. (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; et al. (CoRR, 2023)

APPLS: A Meta-evaluation Testbed for Plain Language Summarization. - Yue Guo 007; Tal August; Gondy Leroy; Trevor Cohen; Lucy Lu Wang (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)

Designing Guiding Principles for NLP for Healthcare: A Case Study of Maternal Health. - Maria Antoniak; Aakanksha Naik; Carla S. Alvarado; Lucy Lu Wang; Irene Y. Chen (CoRR, 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., 2023)

CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support. - Chao-Chun Hsu; Erin Bransom; Jenna Sparks; Bailey Kuehl; Chenhao Tan; David Wadden; Lucy Lu Wang; Aakanksha Naik (ACL (Findings), 2024)

Uncovering the New Accessibility Crisis in Scholarly PDFs: Publishing Model and Platform Changes Contribute to Declining Scholarly Document Accessibility in the Last Decade. - Anukriti Kumar; Lucy Lu Wang (ASSETS, 2024)

Is That the Right Dose? Investigating Generative Language Model Performance on Veterinary Prescription Text Analysis. - Brian Hur; Lucy Lu Wang; Laura Hardefeldt; Meliha Yetisgen (BioNLP@ACL, 2024)

From Paper to Card: Transforming Design Implications with Generative AI. - Donghoon Shin; Lucy Lu Wang; Gary Hsieh (CHI, 2024)

APPLS: Evaluating Evaluation Metrics for Plain Language Summarization. - Yue Guo 007; Tal August; Gondy Leroy; Trevor Cohen; Lucy Lu Wang (EMNLP, 2024)

Characterizing LLM Abstention Behavior in Science QA with Context Perturbations. - Bingbing Wen; Bill Howe; Lucy Lu Wang (EMNLP (Findings), 2024)

NLP for Maternal Healthcare: Perspectives and Guiding Principles in the Age of LLMs. - Maria Antoniak; Aakanksha Naik; Carla S. Alvarado; Lucy Lu Wang; Irene Y. Chen (FAccT, 2024)

FigurA11y: AI Assistance for Writing Scientific Alt Text. - Nikhil Singh 003; Lucy Lu Wang; Jonathan Bragg (IUI, 2024)

TOPICAL: TOPIC Pages AutomagicaLly. - John M. Giorgi; Amanpreet Singh; Doug Downey; Sergey Feldman; Lucy Lu Wang (NAACL (Demonstrations), 2024)

Personalized Jargon Identification for Enhanced Interdisciplinary Communication. - Yue Guo 007; Joseph Chee Chang; Maria Antoniak; Erin Bransom; Trevor Cohen; Lucy Lu Wang; Tal August (NAACL-HLT, 2024)

The Art of Refusal: A Survey of Abstention in Large Language Models. - Bingbing Wen; Jihan Yao; Shangbin Feng; Chenjun Xu; Yulia Tsvetkov; Bill Howe; Lucy Lu Wang (CoRR, 2024)

Uncovering the New Accessibility Crisis in Scholarly PDFs. - Anukriti Kumar; Lucy Lu Wang (CoRR, 2024)

Semantics-enabled biomedical literature analytics. - Halil Kilicoglu; Faezeh Ensan; Bridget T. McInnes; Lucy Lu Wang (J. Biomed. Informatics, 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; et al. (Commun. ACM, 2024)

What About My Design Context?: Exploring the Use of Generative AI to Support Customization of Translational Research Artifacts. - Donghoon Shin; Tze-Yu Chen; Gary Hsieh; Lucy Lu Wang (Conference on Designing Interactive Systems, 2025)

Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs. - Chenjun Xu; Bingbing Wen; Bin Han 011; Robert Wolfe; Lucy Lu Wang; Bill Howe (ACL (Findings), 2025)

Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only. - Jihan Yao; Wenxuan Ding 001; Shangbin Feng; Lucy Lu Wang; Yulia Tsvetkov (ICLR, 2025)

Know Your Limits: A Survey of Abstention in Large Language Models. - Bingbing Wen; Jihan Yao; Shangbin Feng; Chenjun Xu; Yulia Tsvetkov; Bill Howe; Lucy Lu Wang (Trans. Assoc. Comput. Linguistics, 2025)

Explainable AI for Clinical Outcome Prediction: A Survey of Clinician Perceptions and Preferences. - Jun Hou; Lucy Lu Wang (CoRR, 2025)

FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text. - Varich Boonsanong; Vidhisha Balachandran; Xiaochuang Han; Shangbin Feng; Lucy Lu Wang; Yulia Tsvetkov (CoRR, 2025)

Passing the Buck to AI: How Individuals' Decision-Making Patterns Affect Reliance on AI. - Katelyn Xiaoying Mei; Rock Yuren Pang; Alex Lyford; Lucy Lu Wang; Katharina Reinecke (CoRR, 2025)

MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation. - Jihan Yao; Yushi Hu; Yujie Yi; Bin Han 011; Shangbin Feng; Guang Yang 046; Bingbing Wen; Ranjay Krishna; Lucy Lu Wang; Yulia Tsvetkov; Noah A. Smith; Banghua Zhu (CoRR, 2025)