Zobrazeno 1 - 10
of 929
pro vyhledávání: '"Sathyanarayanan, P."'
Responding to misinformation online can be an exhausting and thankless task. It takes time and energy to write effective content, puts users at risk of online harassment, and strains personal relationships. Despite these challenges, there are people
Externí odkaz:
http://arxiv.org/abs/2411.18817
Creative writers have a love for their craft, yet AI systems using large language models (LLMs) offer the automation of significant parts of the writing process. So why do some creative writers choose to integrate AI into their workflows? To explore
Externí odkaz:
http://arxiv.org/abs/2411.03137
Autor:
Yue, Xiang, Song, Yueqi, Asai, Akari, Kim, Seungone, Nyandwi, Jean de Dieu, Khanuja, Simran, Kantharuban, Anjali, Sutawika, Lintang, Ramamoorthy, Sathyanarayanan, Neubig, Graham
Despite recent advances in multimodal large language models (MLLMs), their development has predominantly focused on English- and western-centric datasets and tasks, leaving most of the world's languages and diverse cultural contexts underrepresented.
Externí odkaz:
http://arxiv.org/abs/2410.16153
This work addresses the problem of Social Activity Recognition (SAR), a critical component in real-world tasks like surveillance and assistive robotics. Unlike traditional event understanding approaches, SAR necessitates modeling individual actors' a
Externí odkaz:
http://arxiv.org/abs/2406.14472
Analyzing sequential data is crucial in many domains, particularly due to the abundance of data collected from the Internet of Things paradigm. Time series classification, the task of categorizing sequential data, has gained prominence, with machine
Externí odkaz:
http://arxiv.org/abs/2406.14456
The connection between curvature and topology is a very well-studied theme in the subject of differential geometry. By suitably defining curvature on networks, the study of this theme has been extended into the domain of network analysis as well. In
Externí odkaz:
http://arxiv.org/abs/2407.06197
Learning to infer labels in an open world, i.e., in an environment where the target "labels" are unknown, is an important characteristic for achieving autonomy. Foundation models pre-trained on enormous amounts of data have shown remarkable generaliz
Externí odkaz:
http://arxiv.org/abs/2406.05722
Autor:
Chandramouli, Sathyanarayanan, Mistakidis, Simeon I., Katsimiga, Garyfallia C., Kevrekidis, Panayotis G.
We demonstrate the controllable generation of distinct types of dispersive shock-waves emerging in a quantum droplet bearing environment with the aid of step-like initial conditions. Dispersive regularization of the ensuing hydrodynamic singularities
Externí odkaz:
http://arxiv.org/abs/2404.02998
Given the rise of multimedia content, human translators increasingly focus on culturally adapting not only words but also other modalities such as images to convey the same meaning. While several applications stand to benefit from this, machine trans
Externí odkaz:
http://arxiv.org/abs/2404.01247
Autor:
Aakur, Sathyanarayanan, Laguduva, Vishalini R., Ramamurthy, Priyadharsini, Ramachandran, Akhilesh
A species' genetic code or genome encodes valuable evolutionary, biological, and phylogenetic information that aids in species recognition, taxonomic classification, and understanding genetic predispositions like drug resistance and virulence. Howeve
Externí odkaz:
http://arxiv.org/abs/2401.13219