Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mosaphir, Drisana"'
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
This work investigates the online machine learning problem of prediction with expert advice in an adversarial setting through numerical analysis of, and experiments with, a related partial differential equation. The problem is a repeated two-person g
Externí odkaz:
http://arxiv.org/abs/2406.05754
The fields of AI current lacks methods to quantitatively assess and potentially alter the moral values inherent in the output of large language models (LLMs). However, decades of social science research has developed and refined widely-accepted moral
Externí odkaz:
http://arxiv.org/abs/2312.10075
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