Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Friedman, Scott E."'
Autor:
Friedman, Scott E., Benkler, Noam, Mosaphir, Drisana, Rye, Jeffrey, Schmer-Galunder, Sonja M., Goldwater, Micah, McLure, Matthew, Wheelock, Ruta, Gottlieb, Jeremy, Goldman, Robert P., Miller, Christopher
Large language models (LLMs) generate diverse, situated, persuasive texts from a plurality of potential perspectives, influenced heavily by their prompts and training data. As part of LLM adoption, we seek to characterize - and ideally, manage - the
Externí odkaz:
http://arxiv.org/abs/2411.05040
Autor:
Berijanian, Maryam, Dork, Spencer, Singh, Kuldeep, Millikan, Michael Riley, Riggs, Ashlin, Swaminathan, Aadarsh, Gibbs, Sarah L., Friedman, Scott E., Brugnone, Nathan
Understanding and modeling collective intelligence is essential for addressing complex social systems. Directed graphs called fuzzy cognitive maps (FCMs) offer a powerful tool for encoding causal mental models, but extracting high-integrity FCMs from
Externí odkaz:
http://arxiv.org/abs/2409.18911
Extracting Fine-Grained Knowledge Graphs of Scientific Claims: Dataset and Transformer-Based Results
Autor:
Magnusson, Ian H., Friedman, Scott E.
Recent transformer-based approaches demonstrate promising results on relational scientific information extraction. Existing datasets focus on high-level description of how research is carried out. Instead we focus on the subtleties of how experimenta
Externí odkaz:
http://arxiv.org/abs/2109.10453
Qualitative causal relationships compactly express the direction, dependency, temporal constraints, and monotonicity constraints of discrete or continuous interactions in the world. In everyday or academic language, we may express interactions betwee
Externí odkaz:
http://arxiv.org/abs/2108.13304
Autor:
Friedman, Scott E., Goldman, Robert P., Freedman, Richard G., Kuter, Ugur, Geib, Christopher, Rye, Jeffrey
Publikováno v:
Proceedings of the 2020 ICAPS Workshop on Explainable AI Planning
Many real-world planning domains involve diverse information sources, external entities, and variable-reliability agents, all of which may impact the confidence, risk, and sensitivity of plans. Humans reviewing a plan may lack context about these fac
Externí odkaz:
http://arxiv.org/abs/2011.01774
Relation of Venous Thromboembolism Risk to Ischemic Stroke Risk in Hospitalized Patients with Cancer
Autor:
Corley, Alyssa M., Sullivan, Malachy J., Friedman, Scott E., O'Rourke, Daniel J., Palac, Robert T., Gemignani, Anthony S.
Publikováno v:
In The American Journal of Cardiology 15 February 2019 123(4):679-683
Autor:
Friedman, Scott E, Schmer-Galunder, Sonja, Sarathy, Vasanth, Wheelock, Ruta, McLure, Matthew, Mosaphir, Drisana M, Goldman, Robert P., Benkler, Noam, Kantharaju, Pavan, Goldwater, Micah, Legare, Cristine
Publikováno v:
Proceedings of the Annual Meeting of the Cognitive Science Society, vol 45, iss 45
Understanding the values, norms, behaviors, and causal beliefs of communities is a central goal of cognitive science, with practical benefits of grasping and improving community factors such as healthcare delivery. These cultural causal beliefs are e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::997fb3b1aa967c72596ade9727f3b989
https://escholarship.org/uc/item/6727h95d
https://escholarship.org/uc/item/6727h95d
Autor:
Stock, Jonathan D., Rothstein, Eric S., Friedman, Scott E., Gemignani, Anthony S., Costa, Salvatore P., Milbridge, Andrew J., Zhang, Rui, Taub, Cynthia C., ORourke, Daniel J., Palac, Robert T.
Publikováno v:
Frontiers in Cardiovascular Medicine. 9
IntroductionAccurate assessment of right ventricular (RV) systolic function has prognostic and therapeutic implications in many disease states. Echocardiography remains the most frequently deployed imaging modality for this purpose, but estimation of
Autor:
Friedman, Scott E, Magnusson, Ian, Schmer-Galunder, Sonja, Wheelock, Ruta, Gottlieb, Jeremy, patel, pooja, Miller, Christopher
Publikováno v:
Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43
Moral disengagement is a mechanism whereby people distance or disconnect their actions from their moral evaluation. This work presents a novel knowledge graph schema, dataset, and transformer-based NLP model to identify and represent indicators of mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::e9880b57a930830ced578c8a8bc319b2
https://escholarship.org/uc/item/9n71j1zh
https://escholarship.org/uc/item/9n71j1zh
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