Zobrazeno 1 - 10
of 573
pro vyhledávání: '"Chatrath P"'
Autor:
Raza, Shaina, Saleh, Caesar, Hasan, Emrul, Ogidi, Franklin, Powers, Maximus, Chatrath, Veronica, Lotif, Marcelo, Javadi, Roya, Zahid, Anam, Khazaie, Vahid Reza
The integration of Large Language Models (LLMs) and Vision-Language Models (VLMs) opens new avenues for addressing complex challenges in multimodal content analysis, particularly in biased news detection. This study introduces ViLBias, a framework th
Externí odkaz:
http://arxiv.org/abs/2412.17052
Political misinformation poses significant challenges to democratic processes, shaping public opinion and trust in media. Manual fact-checking methods face issues of scalability and annotator bias, while machine learning models require large, costly
Externí odkaz:
http://arxiv.org/abs/2411.05775
Autor:
Gao, Yifan, Mughal, Zakariyya, Jaramillo-Villegas, Jose A., Corradi, Marie, Borrel, Alexandre, Lieberman, Ben, Sharif, Suliman, Shaffer, John, Fecho, Karamarie, Chatrath, Ajay, Maertens, Alexandra, Teunis, Marc A. T., Kleinstreuer, Nicole, Hartung, Thomas, Luechtefeld, Thomas
Researchers in biomedical research, public health, and the life sciences often spend weeks or months discovering, accessing, curating, and integrating data from disparate sources, significantly delaying the onset of actual analysis and innovation. In
Externí odkaz:
http://arxiv.org/abs/2408.17320
The deployment of Large Language Models (LLMs) in diverse applications necessitates an assurance of safety without compromising the contextual integrity of the generated content. Traditional approaches, including safety-specific fine-tuning or advers
Externí odkaz:
http://arxiv.org/abs/2405.11290
Autonomous robots navigating in changing environments demand adaptive navigation strategies for safe long-term operation. While many modern control paradigms offer theoretical guarantees, they often assume known extrinsic safety constraints, overlook
Externí odkaz:
http://arxiv.org/abs/2404.14546
Autor:
Raza, Shaina, Khan, Tahniat, Chatrath, Veronica, Paulen-Patterson, Drai, Rahman, Mizanur, Bamgbose, Oluwanifemi
In today's technologically driven world, the rapid spread of fake news, particularly during critical events like elections, poses a growing threat to the integrity of information. To tackle this challenge head-on, we introduce FakeWatch, a comprehens
Externí odkaz:
http://arxiv.org/abs/2403.09858
In today's technologically driven world, the spread of fake news, particularly during crucial events such as elections, presents an increasing challenge to the integrity of information. To address this challenge, we introduce FakeWatch ElectionShield
Externí odkaz:
http://arxiv.org/abs/2312.03730
Publikováno v:
American Business Review, Vol 27, Iss 2, Pp 488-524 (2024)
Anecdotal evidence indicates that the influence of crude oil shocks on US economic performance and, by extension, economic policy uncertainty is in decline. While existing studies present mixed evidence on the relationship between economic policy unc
Externí odkaz:
https://doaj.org/article/c368480a9fbb4c6089f169b5f806f0b2
Autor:
Riya Thakral, Abhinav Srivastav, Anshul Chatrath, Vishwani Khanna, Sanjeev Awasthi, Vivek Kumar Pathak, Luv Gupta
Publikováno v:
National Board of Examinations Journal of Medical Sciences, Vol Volume 2, Iss Issue 11, Pp 1076-1086 (2024)
Background: There are various bones around the nasal cavity that pneumatize to form the paranasal sinuses; namely, maxilla, ethmoid bone, frontal bone, and sphenoid bone. The CT scan of nose and paranasal sinus is the gold standard investigation for
Externí odkaz:
https://doaj.org/article/3493b25566224fdd8b5e1aba8eae9226
As the use of large language models (LLMs) increases within society, as does the risk of their misuse. Appropriate safeguards must be in place to ensure LLM outputs uphold the ethical standards of society, highlighting the positive role that artifici
Externí odkaz:
http://arxiv.org/abs/2310.18333