Zobrazeno 1 - 10
of 3 715
pro vyhledávání: '"Sathe, P."'
Large Language Models (LLMs) demonstrate exceptional capabilities in a multitude of NLP tasks. However, the efficacy of such models to languages other than English is often limited. Prior works have shown that encoder-only models such as BERT or XLM-
Externí odkaz:
http://arxiv.org/abs/2410.16168
Autor:
Jangra, Divya, De, Binoy Krishna, Sharma, Pragati, Chakraborty, Koushik, Parate, Shubham, Yogi, Arvind Kumar, Mittal, Ranjan, Gupta, Mayanak K, Nukala, Pavan, Velpula, Praveen Kumar, Sathe, Vasant G.
The anisotropic light-matter interactions in 2D materials have garnered significant attention for their potential to develop futuristic polarization-based optoelectronic devices, such as photodetectors and photo-actuators. In this study, we investiga
Externí odkaz:
http://arxiv.org/abs/2409.17570
Autor:
Chatterjee, Avimita, Rappaport, Sonny, Giri, Anish, Johri, Sonika, Proctor, Timothy, Neira, David E. Bernal, Sathe, Pratik, Lubinski, Thomas
Quantum Hamiltonian simulation is one of the most promising applications of quantum computing and forms the basis for many quantum algorithms. Benchmarking them is an important gauge of progress in quantum computing technology. We present a methodolo
Externí odkaz:
http://arxiv.org/abs/2409.06919
Autor:
Sathe, Pratik, Caravelli, Francesco
The effectiveness of a quantum battery relies on a robust charging process, yet these are often sensitive to initial state of the battery. We introduce the concept of a universally-charging (UC) protocol, defined as one that either increases or maint
Externí odkaz:
http://arxiv.org/abs/2409.02198
Autor:
De, Binoy Krishna, Sathe, V. G., Divya, Sharma, Pragati, Parate, Shubham Kumar, Kunwar, Hemant Singh, Nukala, Pavan, Roy, S. B.
Electric field-induced giant resistive switching triggered by insulator-to-metal transition (IMT) is one of the promising approaches for developing a new class of electronics often referred to as Mottronics. Achieving this resistive switching by mini
Externí odkaz:
http://arxiv.org/abs/2407.12507
Prior research has demonstrated noticeable performance gains through the use of probabilistic tokenizations, an approach that involves employing multiple tokenizations of the same input string during the training phase of a language model. Despite th
Externí odkaz:
http://arxiv.org/abs/2407.03678
Autor:
Sathe, Ashutosh, Sarawagi, Sunita
Maximizing the likelihood of the next token is an established, statistically sound objective for pre-training language models. In this paper we show that we can train better models faster by pre-aggregating the corpus with a collapsed $n$-gram distri
Externí odkaz:
http://arxiv.org/abs/2407.02819
The Heisenberg uncertainty relation, which links the uncertainties of the position and momentum of a particle, has an important footprint on the quantum behavior of a physical system. Motivated by this principle, we propose that thermodynamic current
Externí odkaz:
http://arxiv.org/abs/2406.11974
This paper presents an evaluation of the mathematical capability of ChatGPT across diverse languages like Hindi, Gujarati, and Marathi. ChatGPT, based on GPT-3.5 by OpenAI, has garnered significant attention for its natural language understanding and
Externí odkaz:
http://arxiv.org/abs/2405.11264
Autor:
Sarkar, Shuvam, Bhattacharya, Joydipto, Bhakuni, Pramod, Sadhukhan, Pampa, Batabyal, Rajib, Malliakas, Christos D., Bianchi, Marco, Curcio, Davide, Roy, Shubhankar, Pariari, Arnab, Sathe, Vasant G., Mandal, Prabhat, Kanatzidis, Mercouri G., Hofmann, Philip, Chakrabarti, Aparna, Barman, Sudipta Roy
Recent studies have focused on the relationship between charge density wave (CDW) collective electronic ground states and nontrivial topological states. Using angle-resolved photoemission and density functional theory, we establish that YTe$_3$ is a
Externí odkaz:
http://arxiv.org/abs/2405.10222