Zobrazeno 1 - 10
of 465
pro vyhledávání: '"Khalighinejad, P."'
Autor:
Khalighinejad, Ghazal, Scott, Sharon, Liu, Ollie, Anderson, Kelly L., Stureborg, Rickard, Tyagi, Aman, Dhingra, Bhuwan
Multimodal information extraction (MIE) is crucial for scientific literature, where valuable data is often spread across text, figures, and tables. In materials science, extracting structured information from research articles can accelerate the disc
Externí odkaz:
http://arxiv.org/abs/2410.20494
Autor:
Fu, Deqing, Guo, Ruohao, Khalighinejad, Ghazal, Liu, Ollie, Dhingra, Bhuwan, Yogatama, Dani, Jia, Robin, Neiswanger, Willie
Current foundation models exhibit impressive capabilities when prompted either with text only or with both image and text inputs. But do their capabilities change depending on the input modality? In this work, we propose $\textbf{IsoBench}$, a benchm
Externí odkaz:
http://arxiv.org/abs/2404.01266
This paper investigates the use of large language models (LLMs) for extracting sample lists of polymer nanocomposites (PNCs) from full-length materials science research papers. The challenge lies in the complex nature of PNC samples, which have numer
Externí odkaz:
http://arxiv.org/abs/2403.00260
Autor:
Alexandra Rabin, Elisa Bello, Saurabh Kumar, Dalia Abou Zeki, Khashayar Afshari, Mugdha Deshpande, Nimmy Francis, Farnaz Khalighinejad, Raffaella Umeton, Irina Radu, Fatima Qutab, Danny Kwong, Mariana Kurban, Christopher Hemond, Jillian M. Richmond, Carolina Ionete
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Multiple sclerosis (MS) is an inflammatory demyelinating disease with heterogeneous clinical presentations and variable long-term disability accumulation. There are currently no standard criteria to accurately predict disease outcomes. In th
Externí odkaz:
https://doaj.org/article/41ff790284f0454e8e0950748bd5fe39
We investigate the ability of transformer models to approximate the CKY algorithm, using them to directly predict a sentence's parse and thus avoid the CKY algorithm's cubic dependence on sentence length. We find that on standard constituency parsing
Externí odkaz:
http://arxiv.org/abs/2305.02386
Autor:
Jan Grohn, Nima Khalighinejad, Caroline I Jahn, Alessandro Bongioanni, Urs Schüffelgen, Jerome Sallet, Matthew F. S. Rushworth, Nils Kolling
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Staying engaged is necessary to maintain goal-directed behaviors. Despite this, engagement exhibits continuous, intrinsic fluctuations. Even in experimental settings, animals, unlike most humans, repeatedly and spontaneously move between per
Externí odkaz:
https://doaj.org/article/d56ed8e1f59c420c87bafc18e61308a3
Publikováno v:
Frontiers in Neuroimaging, Vol 3 (2024)
IntroductionUse of functional MRI in awake non-human primate (NHPs) has recently increased. Scanning animals while awake makes data collection possible in the absence of anesthetic modulation and with an extended range of possible experimental design
Externí odkaz:
https://doaj.org/article/0a313f33babd48d78baefaa7128e6c70
We study the impact of merging routines in merge-based sorting algorithms. More precisely, we focus on the galloping routine that TimSort uses to merge monotonic sub-arrays, hereafter called runs, and on the impact on the number of element comparison
Externí odkaz:
http://arxiv.org/abs/2012.03996
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Akademický článek
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