Zobrazeno 1 - 10
of 14 411
pro vyhledávání: '"Budak, A."'
Recent debates raised concerns that language models may favor certain viewpoints. But what if the solution is not to aim for a 'view from nowhere' but rather to leverage different viewpoints? We introduce Plurals, a system and Python library for plur
Externí odkaz:
http://arxiv.org/abs/2409.17213
How do Wikipedians maintain an accurate encyclopedia during an ongoing geopolitical conflict where state actors might seek to spread disinformation or conduct an information operation? In the context of the Russia-Ukraine War, this question becomes m
Externí odkaz:
http://arxiv.org/abs/2409.02304
Large language models (LLMs) are trained on broad corpora and then used in communities with specialized norms. Is providing LLMs with community rules enough for models to follow these norms? We evaluate LLMs' capacity to detect (Task 1) and correct (
Externí odkaz:
http://arxiv.org/abs/2407.04183
Publikováno v:
Journal of Quantitative Description: Digital Media (2024)
Social media enables activists to directly communicate with the public and provides a space for movement leaders, participants, bystanders, and opponents to collectively construct and contest narratives. Focusing on Twitter messages from social movem
Externí odkaz:
http://arxiv.org/abs/2406.13820
Autor:
Miller, John A., Aldosari, Mohammed, Saeed, Farah, Barna, Nasid Habib, Rana, Subas, Arpinar, I. Budak, Liu, Ninghao
Deep Learning has been successfully applied to many application domains, yet its advantages have been slow to emerge for time series forecasting. For example, in the well-known Makridakis (M) Competitions, hybrids of traditional statistical or machin
Externí odkaz:
http://arxiv.org/abs/2401.13912
Exposure to large language model output is rapidly increasing. How will seeing AI-generated ideas affect human ideas? We conducted an experiment (800+ participants, 40+ countries) where participants viewed creative ideas that were from ChatGPT or pri
Externí odkaz:
http://arxiv.org/abs/2401.13481
Many studies explore how people 'come into' misinformation exposure. But much less is known about how people 'come out of' misinformation exposure. Do people organically sever ties to misinformation spreaders? And what predicts doing so? Over six mon
Externí odkaz:
http://arxiv.org/abs/2401.13480
Autor:
Miray Budak, Bernadette A. Fausto, Zuzanna Osiecka, Mustafa Sheikh, Robert Perna, Nicholas Ashton, Kaj Blennow, Henrik Zetterberg, Patricia Fitzgerald-Bocarsly, Mark A. Gluck
Publikováno v:
Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-14 (2024)
Abstract Background Phosphorylated tau (p-tau) and amyloid beta (Aβ) in human plasma may provide an affordable and minimally invasive method to evaluate Alzheimer’s disease (AD) pathophysiology. The medial temporal lobe (MTL) is susceptible to cha
Externí odkaz:
https://doaj.org/article/69d75a1a6fe74422a93d9adb3aba651c
Publikováno v:
Boundary Value Problems, Vol 2024, Iss 1, Pp 1-15 (2024)
Abstract In this paper, we prove some new versions of the Hermite–Hadamard inequality for ( ϕ − h ) $({\phi}-h)$ -integrals. For this aim, we use the tangent and secant lines at the same special points. Moreover, we investigate the relations bet
Externí odkaz:
https://doaj.org/article/6870888f9b374292bdb4636275689975
Autor:
Burcu Yıldırım Budak, Gözde Yazkan Akgül, Ayşe Burcu Erdoğdu Yıldırım, Buğu Subaşı, Yankı Yazgan
Publikováno v:
Psychiatry and Clinical Psychopharmacology, Vol 34, Iss 3, Pp 229-237 (2024)
Background: It is to examine how child psychiatry admissions, diagnosis and treatment trends in the second wave (September–December 2020/SD20) of the coronavirus disease 2019 (COVID-19) pandemic change compared to the pre-pandemic (SD19) and the fi
Externí odkaz:
https://doaj.org/article/11ca2c5fca5e4fd5b6c184a0909b13fd