Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Singh, Anjali"'
Autor:
Dammu, Preetam Prabhu Srikar, Jung, Hayoung, Singh, Anjali, Choudhury, Monojit, Mitra, Tanushree
Large language models (LLMs) have emerged as an integral part of modern societies, powering user-facing applications such as personal assistants and enterprise applications like recruitment tools. Despite their utility, research indicates that LLMs p
Externí odkaz:
http://arxiv.org/abs/2405.05378
Autor:
Pandey, Rohit, Waghela, Hetvi, Rakshit, Sneha, Rangari, Aparna, Singh, Anjali, Kumar, Rahul, Ghosal, Ratnadeep, Sen, Jaydip
This work delved into the realm of automatic text generation, exploring a variety of techniques ranging from traditional deterministic approaches to more modern stochastic methods. Through analysis of greedy search, beam search, top-k sampling, top-p
Externí odkaz:
http://arxiv.org/abs/2404.01786
AI is about learning algorithms and huge amounts of data and are drivers of economic growth -- what does this mean for the field of development studies? Can we re-orient to twin AI studies and development theory and practice to generate how developme
Externí odkaz:
http://arxiv.org/abs/2312.10319
This paper explores the space of optimizing feedback mechanisms in complex domains, such as data science, by combining two prevailing approaches: Artificial Intelligence (AI) and learnersourcing. Towards addressing the challenges posed by each approa
Externí odkaz:
http://arxiv.org/abs/2311.12148
Autor:
Phung, Tung, Pădurean, Victor-Alexandru, Singh, Anjali, Brooks, Christopher, Cambronero, José, Gulwani, Sumit, Singla, Adish, Soares, Gustavo
Generative AI and large language models hold great promise in enhancing programming education by automatically generating individualized feedback for students. We investigate the role of generative AI models in providing human tutor-style programming
Externí odkaz:
http://arxiv.org/abs/2310.03780
Explainability techniques for Graph Neural Networks still have a long way to go compared to explanations available for both neural and decision decision tree-based models trained on tabular data. Using a task that straddles both graphs and tabular da
Externí odkaz:
http://arxiv.org/abs/2106.12665
Autor:
Das, Subhadip, Debnath, Koyendrila, Chakraborty, Biswanath, Singh, Anjali, Grover, Shivani, Muthu, D. V. S., Waghmare, U. V., Sood, A. K.
Publikováno v:
Nanotechnology 32 045202 (2020)
Understanding of electron-phonon coupling (EPC) in two dimensional (2D) materials manifesting as phonon renormalization is essential to their possible applications in nanoelectronics. Here we report in-situ Raman measurements of electrochemically top
Externí odkaz:
http://arxiv.org/abs/2010.15932
Citizen engagement and technology usage are two emerging trends driven by smart city initiatives. Governments around the world are adopting technology for faster resolution of civic issues. Typically, citizens report issues, such as broken roads, gar
Externí odkaz:
http://arxiv.org/abs/1901.10124
Monolayers of hexagonal boron nitride (h-BN) can in principle be identified by a Raman signature, consisting of an upshift in the frequency of the E2g vibrational mode with respect to the bulk value, but the origin of this shift (intrinsic or support
Externí odkaz:
http://arxiv.org/abs/1803.08454
Autor:
Gupta, Satyendra Nath, Singh, Anjali, Pal, Koushik, Muthu, D. V. S., Shekhar, C., Qi, Yanpeng, Naumov, Pavel G., Medvedev, Sergey A., Felser, C., Waghmare, U. V., Sood, A. K.
Publikováno v:
Phys. Rev. B 97, 064102 (2018)
We report high pressure Raman, synchrotron x-ray diffraction and electrical transport studies on Weyl semimetals NbP and TaP along with first-principles density functional theoretical (DFT) analysis. The frequencies of first-order Raman modes of NbP
Externí odkaz:
http://arxiv.org/abs/1709.09368