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The explosion of scientific literature has made the efficient and accurate extraction of structured data a critical component for advancing scientific knowledge and supporting evidence-based decision-making.
What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model
J.-H. Wu and S.-C. Wang · 2005
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Apolo: Making sense of large network data by combining rich user interaction and machine learning
D. H. Chau, A. Kittur, J. I. Hong, and C. Faloutsos · 2011
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Cermine: Automatic extraction of structured metadata from scientific literature
D. Tkaczyk, P. Szostek, M. Fedoryszak, P. J. Dendek, and Ł. Bolikowski · 2015
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Pdffigures 2.0: Mining figures from research papers
C. Clark and S. Divvala · 2016
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Spotlights: Attention-optimized highlights for skim reading
B. Lee, O. Savisaari, and A. Oulasvirta · 2016
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Robotreviewer: evaluation of a system for automatically assessing bias in clinical trials
I. J. Marshall, J. Kuiper, and B. C. Wallace · 2016
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Paperquest: A visualization tool to support literature review
A. Ponsard, F. Escalona, and T. Munzner · 2016
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Facilitating document reading by linking text and tables
D. H. Kim, E. Hoque, J. Kim, and M. Agrawala · 2018
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SciBERT: A pretrained language model for scientific text
I. Beltagy, K. Lo, and A. Cohan · 2019
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PubMedQA: A dataset for biomedical research question answering
Q. Jin, B. Dhingra, Z. Liu, W. Cohen, and X. Lu · 2019
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Inferring which medical treatments work from reports of clinical trials
E. Lehman, J. DeYoung, R. Barzilay, and B. C. Wallace · 2019
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HEAD-QA: A healthcare dataset for complex reasoning
D. Vilares and C. Gómez-Rodríguez · 2019
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Pretrained language models for biomedical and clinical tasks: Understanding and extending the state-of-the-art
P. Lewis, M. Ott, J. Du, and V. Stoyanov · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
P. Lewis, E. Perez, A. Piktus, F. Petroni, V. Karpukhin, N. Goyal, H. Küttler, M. Lewis, W.-t. Yih, T. Rocktäschel, et al · 2020
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Trialstreamer: mapping and browsing medical evidence in real-time
B. E. Nye, A. Nenkova, I. J. Marshall, and B. C. Wallace · 2020
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Summarising good practice guidelines for data extraction for systematic reviews and meta-analysis
K. S. Taylor, K. R. Mahtani, and J. K. Aronson · 2020
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Conversations with documents: An exploration of document-centered assistance
M. ter Hoeve, R. Sim, E. Nouri, A. Fourney, M. de Rijke, and R. W. White · 2020
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A dataset of information-seeking questions and answers anchored in research papers
P. Dasigi, K. Lo, I. Beltagy, A. Cohan, N. A. Smith, and M. Gardner · 2021
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Augmenting scientific papers with just-in-time, position-sensitive definitions of terms and symbols
A. Head, K. Lo, D. Kang, R. Fok, S. Skjonsberg, D. S. Weld, and M. A. Hearst · 2021
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Automating risk of bias assessment in systematic reviews: a real-time mixed methods comparison of human researchers to a machine learning system
P. S. J. Jardim, C. J. Rose, H. M. Ames, J. F. M. Echavez, S. Van de Velde, and A. E. Muller · 2022
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Threddy: An interactive system for personalized thread-based exploration and organization of scientific literature
H. Kang, J. C. Chang, Y. Kim, and A. Kittur · 2022
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Teaching language models to support answers with verified quotes, 2022
J. Menick, M. Trebacz, V. Mikulik, J. Aslanides, F. Song, M. Chadwick, M. Glaese, S. Young, L. Campbell-Gillingham, G. Irving, et al · 2022
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Crebot: Exploring interactive question prompts for critical paper reading
Z. Peng, Y. Liu, H. Zhou, Z. Xu, and X. Ma · 2022
Measuring Attribution in Natural Language Generation Models
H. Rashkin, V. Nikolaev, M. Lamm, L. Aroyo, M. Collins, D. Das, S. Petrov, G. S. Tomar, I. Turc, and D. Reitter · 2023
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A dataset of argumentative dialogues on scientific papers
F. Ruggeri, M. Mesgar, and I. Gurevych · 2023
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Commonsensevis: Visualizing and understanding commonsense reasoning capabilities of natural language models
X. Wang, R. Huang, Z. Jin, T. Fang, and H. Qu · 2023
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Automatic evaluation of attribution by large language models
X. Yue, B. Wang, Z. Chen, K. Zhang, Y. Su, and H. Sun · 2023
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Geodeepshovel: A platform for building scientific database from geoscience literature with ai assistance
S. Zhang, H. Xu, Y. Jia, Y. Wen, D. Wang, L. Fu, X. Wang, and C. Zhou · 2023
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alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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Interactive data analysis with next-step natural language query recommendation, 2022
X. Wang, F. Cheng, Y. Wang, K. Xu, J. Long, H. Lu, and H. Qu · 2022
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Paper plain: Making medical research papers approachable to healthcare consumers with natural language processing
T. August, L. L. Wang, J. Bragg, M. A. Hearst, A. Head, and K. Lo · 2023
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Attributed question answering: Evaluation and modeling for attributed large language models, 2023
B. Bohnet, V. Q. Tran, P. Verga, R. Aharoni, D. Andor, L. B. Soares, M. Ciaramita, J. Eisenstein, K. Ganchev, J. Herzig, et al · 2023
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Marvista: Exploring the design of a human-ai collaborative news reading tool
X. Chen, C.-S. Wu, L. Murakhovs’ka, P. Laban, T. Niu, W. Liu, and C. Xiong · 2023
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Elicit: The ai research assistant, 2023
Elicit · 2023
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Scim: Intelligent skimming support for scientific papers
R. Fok, H. Kambhamettu, L. Soldaini, J. Bragg, K. Lo, M. Hearst, A. Head, and D. S. Weld · 2023
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RARR: Researching and revising what language models say, using language models
L. Gao, Z. Dai, P. Pasupat, A. Chen, A. T. Chaganty, Y. Fan, V. Zhao, N. Lao, H. Lee, D.-C. Juan, and K. Guu · 2023
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Opticalbert and opticaltable-sqa: Text-and table-based language models for the optical-materials domain
J. Zhao, S. Huang, and J. M. Cole · 2023
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A survey of large language models, 2023
W. X. Zhao, K. Zhou, J. Li, T. Tang, X. Wang, Y. Hou, Y. Min, B. Zhang, J. Zhang, Z. Dong, Y. Du, C. Yang, Y. Chen, Z. Chen, J. Jiang, R. Ren, Y. Li, X. Tang, Z. Liu, P. Liu, J.-Y. Nie, and J.-R. Wen · 2023
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Structured information extraction from scientific text with large language models
J. Dagdelen, A. Dunn, S. Lee, N. Walker, A. S. Rosen, G. Ceder, K. A. Persson, and A. Jain · 2024
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RAGAs: Automated evaluation of retrieval augmented generation
S. Es, J. James, L. Espinosa Anke, and S. Schockaert · 2024
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Qlarify: Bridging scholarly abstracts and papers with recursively expandable summaries, 2024
R. Fok, J. C. Chang, T. August, A. X. Zhang, and D. S. Weld · 2024
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https://github.com/kermitt2/grobid , 2008–2024
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Large language models in health care: Charting a path toward accurate, explainable, and secure ai
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GPT-4 technical report, 2024
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Evaluation of retrieval-augmented generation: A survey, 2024
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WHO handbook for guideline development
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Breastfeeding and covid-19: Scientific brief, June 2020
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