Zobrazeno 1 - 10
of 12 111
pro vyhledávání: '"Raina, P"'
Quantum simulation in its current state faces experimental overhead in terms of physical space and cooling. We propose boson sampling as an alternative compact synthetic platform performing at room temperature. Identifying the capability of estimatin
Externí odkaz:
http://arxiv.org/abs/2410.13938
Artificial Intelligence (AI) has witnessed major growth and integration across various domains. As AI systems become increasingly prevalent, they also become targets for threat actors to manipulate their functionality for malicious purposes. This sur
Externí odkaz:
http://arxiv.org/abs/2410.03566
Automated assessment in natural language generation is a challenging task. Instruction-tuned large language models (LLMs) have shown promise in reference-free evaluation, particularly through comparative assessment. However, the quadratic computation
Externí odkaz:
http://arxiv.org/abs/2409.15979
We consider the Weak Galerkin finite element approximation of the Singularly Perturbed Biharmonic elliptic problem on a unit square domain with clamped boundary conditions. Shishkin mesh is used for domain discretization as the solution exhibits boun
Externí odkaz:
http://arxiv.org/abs/2409.07217
Ultrasound is widely employed for clinical intervention and diagnosis, due to its advantages of offering non-invasive, radiation-free, and real-time imaging. However, the accessibility of this dexterous procedure is limited due to the substantial tra
Externí odkaz:
http://arxiv.org/abs/2409.02337
Autor:
Pacheco, Alexandre, Denis, Ulysse, Zakir, Raina, Strobel, Volker, Reina, Andreagiovanni, Dorigo, Marco
This technical report describes the implementation of Toychain: a simple, lightweight blockchain implemented in Python, designed for ease of deployment and practicality in robotics research. It can be integrated with various software and simulation t
Externí odkaz:
http://arxiv.org/abs/2407.06630
Autor:
Raina, Vyas, Gales, Mark
Speech enabled foundation models, either in the form of flexible speech recognition based systems or audio-prompted large language models (LLMs), are becoming increasingly popular. One of the interesting aspects of these models is their ability to pe
Externí odkaz:
http://arxiv.org/abs/2407.04482
Autor:
Raina, Deepak, Zhao, Ziming, Voyles, Richard, Wachs, Juan, Saha, Subir K., Chandrashekhara, S. H.
Telerobotic and Autonomous Robotic Ultrasound Systems (RUS) help alleviate the need for operator-dependability in free-hand ultrasound examinations. However, the state-of-the-art RUSs still rely on a human operator to apply the ultrasound gel. The la
Externí odkaz:
http://arxiv.org/abs/2406.19678
Autor:
Raina, Vatsal, Gales, Mark
Enterprise retrieval augmented generation (RAG) offers a highly flexible framework for combining powerful large language models (LLMs) with internal, possibly temporally changing, documents. In RAG, documents are first chunked. Relevant chunks are th
Externí odkaz:
http://arxiv.org/abs/2405.12363
Recent developments in large speech foundation models like Whisper have led to their widespread use in many automatic speech recognition (ASR) applications. These systems incorporate `special tokens' in their vocabulary, such as $\texttt{<|endoftext|
Externí odkaz:
http://arxiv.org/abs/2405.06134