Zobrazeno 1 - 10
of 21 417
pro vyhledávání: '"Inan, A."'
Effective human-machine collaboration requires machine learning models to externalize uncertainty, so users can reflect and intervene when necessary. For language models, these representations of uncertainty may be impacted by sycophancy bias: procli
Externí odkaz:
http://arxiv.org/abs/2410.14746
Autor:
Cheng, Qi, İnan, Mert, Mbarki, Rahma, Grmek, Grace, Choi, Theresa, Sun, Yiming, Persaud, Kimele, Wang, Jenny, Alikhani, Malihe
Understanding uncertainty plays a critical role in achieving common ground (Clark et al.,1983). This is especially important for multimodal AI systems that collaborate with users to solve a problem or guide the user through a challenging concept. In
Externí odkaz:
http://arxiv.org/abs/2410.14050
We introduce a goal-oriented conversational AI system enhanced with American Sign Language (ASL) instructions, presenting the first implementation of such a system on a worldwide multimodal conversational AI platform. Accessible through a touch-based
Externí odkaz:
http://arxiv.org/abs/2410.14026
One of the classical tests of general relativity is the precision measurements by Pound and Rebka of red-shift/blue-shift of photons in a gravitational field. In this essay, we lay out a temporal version of the Pound-Rebka experiment. The emission an
Externí odkaz:
http://arxiv.org/abs/2409.13780
Autor:
Baumel, Tal, Manoel, Andre, Jones, Daniel, Su, Shize, Inan, Huseyin, Aaron, Bornstein, Sim, Robert
In the field of machine learning, domain-specific annotated data is an invaluable resource for training effective models. However, in the medical domain, this data often includes Personal Health Information (PHI), raising significant privacy concerns
Externí odkaz:
http://arxiv.org/abs/2409.07809
Autor:
Bostanci, Inan, Conrad, Tim
This study investigates the spatial integration of agent-based models (ABMs) and compartmental models in infectious disease modeling, presenting a novel hybrid approach and studying its implications. ABMs, characterized by individual agent interactio
Externí odkaz:
http://arxiv.org/abs/2407.20993
Bipartite networks serve as highly suitable models to represent systems involving interactions between two distinct types of entities, such as online dating platforms, job search services, or ecommerce websites. These models can be leveraged to tackl
Externí odkaz:
http://arxiv.org/abs/2406.06658
Autor:
Inan, Yavuz Selim
WHO has declared that more than 2.2 billion people worldwide are suffering from visual disorders, such as media haze, glaucoma, and drusen. At least 1 billion of these cases could have been either prevented or successfully treated, yet they remain un
Externí odkaz:
http://arxiv.org/abs/2405.18449
In this paper, we consider a setting where heterogeneous agents with connectivity are performing inference using unlabeled streaming data. Observed data are only partially informative about the target variable of interest. In order to overcome the un
Externí odkaz:
http://arxiv.org/abs/2405.01260
Publikováno v:
Annals Phys. 468 (2024) 169717
Some time ago, it has been suggested that gravitons can acquire mass in the process of spontaneous symmetry breaking of diffeomorphisms through the condensation of scalar fields [Chamseddine and Mukhanov, JHEP, 2010]. Taking this possibility into acc
Externí odkaz:
http://arxiv.org/abs/2405.05269