Zobrazeno 1 - 10
of 14 173
pro vyhledávání: '"Bora, P."'
In this paper, we present a technique for repairing data race errors in parallel programs written in C/C++ and Fortran using the OpenMP API. Our technique can also remove barriers that are deemed unnecessary for correctness. We implement these ideas
Externí odkaz:
http://arxiv.org/abs/2411.14590
In this work, we attempted to extend the thought and showcase a way forward for the Self-supervised Learning (SSL) learning paradigm by combining contrastive learning, self-distillation (knowledge distillation) and masked data modelling, the three ma
Externí odkaz:
http://arxiv.org/abs/2411.12270
Autor:
Tamang, S., Bora, D. J.
Large Language Models (LLMs) based on transformer architectures have revolutionized a variety of domains, with tokenization playing a pivotal role in their pre-processing and fine-tuning stages. In multilingual models, particularly those tailored for
Externí odkaz:
http://arxiv.org/abs/2411.12240
Optical Properties, Quasinormal Modes and Greybody factors of deformed AdS-Schwarzschild black holes
We investigate the temperature, photon and shadow radii, quasinormal modes (QNMs), greybody factors, and emission rates of deformed AdS black holes, focusing on the effects of the deformation parameter $ \alpha $ and control parameter $ \beta $. Incr
Externí odkaz:
http://arxiv.org/abs/2411.07173
Autor:
Caglayan, Bora, Wang, Mingxue, Kelleher, John D., Fei, Shen, Tong, Gui, Ding, Jiandong, Zhang, Puchao
NL2SQL (Natural Language to Structured Query Language) transformation has seen wide adoption in Business Intelligence (BI) applications in recent years. However, existing NL2SQL benchmarks are not suitable for production BI scenarios, as they are not
Externí odkaz:
http://arxiv.org/abs/2410.22925
Autor:
Dogangun, Fatih, Bahar, Serdar, Yildirim, Yigit, Temir, Bora Toprak, Ugur, Emre, Dogan, Mustafa Doga
As robotics continue to enter various sectors beyond traditional industrial applications, the need for intuitive robot training and interaction systems becomes increasingly more important. This paper introduces Robotic Augmented Reality for Machine P
Externí odkaz:
http://arxiv.org/abs/2410.13412
Contact estimation is a key ability for limbed robots, where making and breaking contacts has a direct impact on state estimation and balance control. Existing approaches typically rely on gate-cycle priors or designated contact sensors. We design a
Externí odkaz:
http://arxiv.org/abs/2410.12345
Autor:
Tamang, S., Bora, D. J.
This paper introduces a centralized, open-source dataset repository designed to advance NLP and NMT for Assamese, a low-resource language. The repository, available at GitHub, supports various tasks like sentiment analysis, named entity recognition,
Externí odkaz:
http://arxiv.org/abs/2410.11291
Autor:
Tamang, S., Bora, D. J.
In this paper, we have gone through different AI-Based frameworks used for various educational tasks like digital customized assignment allotment and performance monitoring, identifying slow-learners and fast-learners, etc. application describes a no
Externí odkaz:
http://arxiv.org/abs/2410.11866
Publikováno v:
Publication ID: 979-8-3503-8481-9/24/$31.00 \c{opyright}2024 IEEE
As future wireless networks move towards millimeter wave (mmWave) and terahertz (THz) frequencies for 6G, multihop transmission using Integrated Access Backhaul (IABs) and Network-Controlled Repeaters (NCRs) will be highly essential to overcome cover
Externí odkaz:
http://arxiv.org/abs/2410.05172