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pro vyhledávání: '"Bhola, A."'
In the post-fifth generation (5G) era, escalating user quality of service (QoS) strains terrestrial network capacity, especially in urban areas with dynamic traffic distributions. This paper introduces a novel cooperative unmanned aerial vehicle rela
Externí odkaz:
http://arxiv.org/abs/2410.06880
We present SuperCoder2.0, an advanced autonomous system designed to enhance software development through artificial intelligence. The system combines an AI-native development approach with intelligent agents to enable fully autonomous coding. Key foc
Externí odkaz:
http://arxiv.org/abs/2409.11190
Autor:
Saha, Bhola Nath, Sanki, Bidyut
A pair $(\alpha, \beta)$ of simple closed curves on a surface $S_{g,n}$ of genus $g$ and with $n$ punctures is called a filling pair if the complement of the union of the curves is a disjoint union of topological disks and once punctured disks. In th
Externí odkaz:
http://arxiv.org/abs/2409.05483
AI agents, specifically powered by large language models, have demonstrated exceptional capabilities in various applications where precision and efficacy are necessary. However, these agents come with inherent risks, including the potential for unsaf
Externí odkaz:
http://arxiv.org/abs/2409.03793
Autor:
Rahman, Abdur, Chawla, Rajat, Kumar, Muskaan, Datta, Arkajit, Jha, Adarsh, NS, Mukunda, Bhola, Ishaan
In the rapidly evolving landscape of AI research and application, Multimodal Large Language Models (MLLMs) have emerged as a transformative force, adept at interpreting and integrating information from diverse modalities such as text, images, and Gra
Externí odkaz:
http://arxiv.org/abs/2405.15341
Autor:
Bhola, Sahil, Duraisamy, Karthik
Advancements in computer hardware have made it possible to utilize low- and mixed-precision arithmetic for enhanced computational efficiency. In practical predictive modeling, however, it is vital to quantify uncertainty due to rounding along other s
Externí odkaz:
http://arxiv.org/abs/2404.12556
In this paper, we introduce GUIDE, a novel dataset tailored for the advancement of Multimodal Large Language Model (MLLM) applications, particularly focusing on Robotic Process Automation (RPA) use cases. Our dataset encompasses diverse data from var
Externí odkaz:
http://arxiv.org/abs/2404.16048
In recent advancements within the domain of Large Language Models (LLMs), there has been a notable emergence of agents capable of addressing Robotic Process Automation (RPA) challenges through enhanced cognitive capabilities and sophisticated reasoni
Externí odkaz:
http://arxiv.org/abs/2403.10171
Autor:
Chawla, Rajat, Datta, Arkajit, Verma, Tushar, Jha, Adarsh, Gautam, Anmol, Vatsal, Ayush, Chaterjee, Sukrit, NS, Mukunda, Bhola, Ishaan
Lately, researchers in artificial intelligence have been really interested in how language and vision come together, giving rise to the development of multimodal models that aim to seamlessly integrate textual and visual information. Multimodal model
Externí odkaz:
http://arxiv.org/abs/2403.08773
Autor:
Bhola, Ritesh, Damle, Kedar
Majorana networks, whose vertices represent localized Majorana modes and edges correspond to bilinear mixing amplitudes between them, provide a unified framework for describing the low energy physics of several interesting systems. Such networks are
Externí odkaz:
http://arxiv.org/abs/2311.05634