Zobrazeno 1 - 10
of 22 451
pro vyhledávání: '"Trivedi, P"'
This paper explores the potential of using Large Language Models (LLMs) to automate the evaluation of responses in medical Question and Answer (Q\&A) systems, a crucial form of Natural Language Processing. Traditionally, human evaluation has been ind
Externí odkaz:
http://arxiv.org/abs/2409.01941
The degree of a map between orientable manifolds is a crucial concept in topology, providing deep insights into the structure and properties of the manifolds and the corresponding maps. This concept has been thoroughly investigated, particularly in t
Externí odkaz:
http://arxiv.org/abs/2409.00907
Autor:
Hashem, Maeesha Binte, Parpillon, Benjamin, Kumar, Divake, Jayasuria, Dinithi, Trivedi, Amit Ranjan
In this work, we propose "TimeFloats," an efficient train-in-memory architecture that performs 8-bit floating-point scalar product operations in the time domain. While building on the compute-in-memory paradigm's integrated storage and inferential co
Externí odkaz:
http://arxiv.org/abs/2409.00495
Autor:
Mohamed, Sondos, Zimmer, Walter, Greer, Ross, Ghita, Ahmed Alaaeldin, Castrillón-Santana, Modesto, Trivedi, Mohan, Knoll, Alois, Carta, Salvatore Mario, Marras, Mirko
Accurately detecting 3D objects from monocular images in dynamic roadside scenarios remains a challenging problem due to varying camera perspectives and unpredictable scene conditions. This paper introduces a two-stage training strategy to address th
Externí odkaz:
http://arxiv.org/abs/2408.15637
Autor:
De Sensi, Daniele, Pichetti, Lorenzo, Vella, Flavio, De Matteis, Tiziano, Ren, Zebin, Fusco, Luigi, Turisini, Matteo, Cesarini, Daniele, Lust, Kurt, Trivedi, Animesh, Roweth, Duncan, Spiga, Filippo, Di Girolamo, Salvatore, Hoefler, Torsten
Publikováno v:
Published in Proceedings of The International Conference for High Performance Computing Networking, Storage, and Analysis (SC '24) (2024)
Multi-GPU nodes are increasingly common in the rapidly evolving landscape of exascale supercomputers. On these systems, GPUs on the same node are connected through dedicated networks, with bandwidths up to a few terabits per second. However, gauging
Externí odkaz:
http://arxiv.org/abs/2408.14090
Equivariant neural networks have been widely used in a variety of applications due to their ability to generalize well in tasks where the underlying data symmetries are known. Despite their successes, such networks can be difficult to optimize and re
Externí odkaz:
http://arxiv.org/abs/2408.13242
Autor:
White, Alexander D., Trivedi, Rahul
Dynamic reciprocity imposes stringent performance constraints on nonlinear optical devices such as isolators and circulators. The seminal result by Shi et al. establishes that nonlinear optical devices relying on the intensity-dependent refractive in
Externí odkaz:
http://arxiv.org/abs/2408.12768
Recent research in light scattering has prompted a re-evaluation of complex quantities, particularly in the context of complex frequency signals, which exhibit exponential growth or decay unlike traditional harmonic signals. We introduce a novel appr
Externí odkaz:
http://arxiv.org/abs/2408.09617
The emergence of intelligence in large language models (LLMs) has inspired investigations into their integration into automata learning. This paper introduces the probabilistic Minimally Adequate Teacher (pMAT) formulation, which leverages a probabil
Externí odkaz:
http://arxiv.org/abs/2408.02999
Autor:
Trivedi, Harsh, Khot, Tushar, Hartmann, Mareike, Manku, Ruskin, Dong, Vinty, Li, Edward, Gupta, Shashank, Sabharwal, Ashish, Balasubramanian, Niranjan
Autonomous agents that address day-to-day digital tasks (e.g., ordering groceries for a household), must not only operate multiple apps (e.g., notes, messaging, shopping app) via APIs, but also generate rich code with complex control flow in an itera
Externí odkaz:
http://arxiv.org/abs/2407.18901