Zobrazeno 1 - 10
of 4 474
pro vyhledávání: '"P. Ghosal"'
Publikováno v:
Materials & Design, Vol 242, Iss , Pp 112988- (2024)
Lightweight alloys are known to improve the fuel efficiency of the structural components due to high strength-to-weight ratio, however, they lack formability at room temperature. This major limitation of poor formability is most of the time overcome
Externí odkaz:
https://doaj.org/article/f05d3dc50f4247378c74c52a9c284df9
Autor:
Ni, Jinjie, Song, Yifan, Ghosal, Deepanway, Li, Bo, Zhang, David Junhao, Yue, Xiang, Xue, Fuzhao, Zheng, Zian, Zhang, Kaichen, Shah, Mahir, Jain, Kabir, You, Yang, Shieh, Michael
Perceiving and generating diverse modalities are crucial for AI models to effectively learn from and engage with real-world signals, necessitating reliable evaluations for their development. We identify two major issues in current evaluations: (1) in
Externí odkaz:
http://arxiv.org/abs/2410.13754
In this paper, we study the problem of finding an envy-free allocation of indivisible goods among multiple agents. EFX, which stands for envy-freeness up to any good, is a well-studied relaxation of the envy-free allocation problem and has been shown
Externí odkaz:
http://arxiv.org/abs/2410.13580
Large language models (LLMs) have shown increasing proficiency in solving mathematical reasoning problems. However, many current open-source LLMs often still make calculation and semantic understanding errors in their intermediate reasoning steps. In
Externí odkaz:
http://arxiv.org/abs/2410.12608
We address the challenge of causal discovery in structural equation models with additive noise without imposing additional assumptions on the underlying data-generating process. We introduce local search in additive noise model (LoSAM), which general
Externí odkaz:
http://arxiv.org/abs/2410.11759
We investigate the charge density wave phase in the strongly correlated Hubbard model without any other broken symmetry phase. Starting from the atomic Hamiltonian with no hopping, we generate quasiparticle operators corresponding to holons and doubl
Externí odkaz:
http://arxiv.org/abs/2410.09903
'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews
The integrity of the peer-review process is vital for maintaining scientific rigor and trust within the academic community. With the steady increase in the usage of large language models (LLMs) like ChatGPT in academic writing, there is a growing con
Externí odkaz:
http://arxiv.org/abs/2410.09770
Autor:
Matabuena, Marcos, Ghosal, Rahul, Aguilar, Javier Enrique, Wagner, Robert, Merino, Carmen Fernández, Castro, Juan Sánchez, Zipunnikov, Vadim, Onnela, Jukka-Pekka, Gude, Francisco
Continuous glucose monitoring (CGM) data has revolutionized the management of type 1 diabetes, particularly when integrated with insulin pumps to mitigate clinical events such as hypoglycemia. Recently, there has been growing interest in utilizing CG
Externí odkaz:
http://arxiv.org/abs/2410.00912
Autor:
Roy, Sujit, Singh, Talwinder, Freitag, Marcus, Schmude, Johannes, Lal, Rohit, Hegde, Dinesha, Ranjan, Soumya, Lin, Amy, Gaur, Vishal, Vos, Etienne Eben, Ghosal, Rinki, Patro, Badri Narayana, Aydin, Berkay, Pogorelov, Nikolai, Moreno, Juan Bernabe, Maskey, Manil, Ramachandran, Rahul
Deep learning-based methods have been widely researched in the areas of language and vision, demonstrating their capacity to understand long sequences of data and their usefulness in numerous helio-physics applications. Foundation models (FMs), which
Externí odkaz:
http://arxiv.org/abs/2410.10841
Autor:
Pan, Rui, Nguyen, Tuan Dung, Arora, Hardik, Accomazzi, Alberto, Ghosal, Tirthankar, Ting, Yuan-Sen
Continual pretraining of large language models on domain-specific data has been proposed to enhance performance on downstream tasks. In astronomy, the previous absence of astronomy-focused benchmarks has hindered objective evaluation of these special
Externí odkaz:
http://arxiv.org/abs/2409.19750