Zobrazeno 1 - 10
of 1 543
pro vyhledávání: '"P. Navya"'
Autor:
Arikkat, Dincy R., M., Abhinav, Binu, Navya, M., Parvathi, Biju, Navya, Arunima, K. S., P., Vinod, A., Rafidha Rehiman K., Conti, Mauro
In the rapidly evolving landscape of cyber security, intelligent chatbots are gaining prominence. Artificial Intelligence, Machine Learning, and Natural Language Processing empower these chatbots to handle user inquiries and deliver threat intelligen
Externí odkaz:
http://arxiv.org/abs/2411.05442
Word embeddings have been shown to produce remarkable results in tackling a vast majority of NLP related tasks. Unfortunately, word embeddings also capture the stereotypical biases that are prevalent in society, affecting the predictive performance o
Externí odkaz:
http://arxiv.org/abs/2411.12074
As Large Language Models (LLMs) become increasingly integrated into various facets of society, a significant portion of online text consequently become synthetic. This raises concerns about bias amplification, a phenomenon where models trained on syn
Externí odkaz:
http://arxiv.org/abs/2410.15234
Autor:
Nagananda, Navya, Vican, Laura, Zuckerman, Ben, Rodriguez, David, Binks, Alexander, Kastner, Joel
The GALEX Nearby Young Star Search (GALNYSS) yielded the identification of more than 2000 late-type stars that, based on their ultraviolet and infrared colors and pre-Gaia proper motions, are potentially of age < 200 Myr and lie within ~120 pc of Ear
Externí odkaz:
http://arxiv.org/abs/2409.15579
Autor:
Jain, Navya, Wu, Zekun, Munoz, Cristian, Hilliard, Airlie, Koshiyama, Adriano, Kazim, Emre, Treleaven, Philip
As the demand for human-like interactions with LLMs continues to grow, so does the interest in manipulating their personality traits, which has emerged as a key area of research. Methods like prompt-based In-Context Knowledge Editing (IKE) and gradie
Externí odkaz:
http://arxiv.org/abs/2409.10245
Autor:
Tokarsky, Joshua, Abdulhafiz, Ibrahim, Ayyalasomayajula, Satya, Mohsen, Mostafa, Rao, Navya G., Forbes, Adam
Autonomous driving has experienced remarkable progress, bolstered by innovations in computational hardware and sophisticated deep learning methodologies. The foundation of these advancements rests on the availability and quality of datasets, which ar
Externí odkaz:
http://arxiv.org/abs/2406.07667
The study of how social media affects the formation of public opinion and its influence on political results has been a popular field of inquiry. However, current approaches frequently offer a limited comprehension of the complex political phenomena,
Externí odkaz:
http://arxiv.org/abs/2405.07828
Autor:
Anand, Avinash, Gupta, Mohit, Prasad, Kritarth, Singla, Navya, Sanjeev, Sanjana, Kumar, Jatin, Shivam, Adarsh Raj, Shah, Rajiv Ratn
Publikováno v:
NeurIPS 2023 Workshop on Generative AI for Education (GAIED)
The rapid progress in the field of natural language processing (NLP) systems and the expansion of large language models (LLMs) have opened up numerous opportunities in the field of education and instructional methods. These advancements offer the pot
Externí odkaz:
http://arxiv.org/abs/2404.13099
Developing generalizable ML-based solutions for disparate learning problems in network security is highly desired. However, despite a rich history of applying ML to network security, most existing solutions lack generalizability. This lack of progres
Externí odkaz:
http://arxiv.org/abs/2310.17025
Publikováno v:
Asian Journal of Medical Sciences, Vol 15, Iss 12, Pp 171-175 (2024)
Background: Tissues which transmit pain in the lower back include disc, nerve root, dura, muscles, ligaments, facet joints, and sacroiliac joint (SIJ). The SIJ contributes around 13–30% in patients with chronic low back pain. The SIJ is difficult t
Externí odkaz:
https://doaj.org/article/65568ab3237d43628b0603ea5596b535
