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Akademický článek
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Large language models (LLMs) have significantly advanced natural language processing, excelling in areas like text generation, summarization, and question-answering. Despite their capabilities, these models face challenges when fine-tuned on small, d
Externí odkaz:
http://arxiv.org/abs/2412.15254
Autor:
Castillo, Alejandra, Haddock, Jamie, Hartsock, Iryna, Hoyos, Paulina, Kassab, Lara, Kryshchenko, Alona, Larripa, Kamila, Needell, Deanna, Suryanarayanan, Shambhavi, Yacoubou-Djima, Karamatou
Randomized iterative algorithms, such as the randomized Kaczmarz method, have gained considerable popularity due to their efficacy in solving matrix-vector and matrix-matrix regression problems. Our present work leverages the insights gained from stu
Externí odkaz:
http://arxiv.org/abs/2412.10583
Autor:
Kassab, Christina, Mattamala, Matías, Morin, Sacha, Büchner, Martin, Valada, Abhinav, Paull, Liam, Fallon, Maurice
3D open-vocabulary scene graph methods are a promising map representation for embodied agents, however many current approaches are computationally expensive. In this paper, we reexamine the critical design choices established in previous works to opt
Externí odkaz:
http://arxiv.org/abs/2412.01539
Cryo-Electron Tomography (Cryo-ET) enables detailed 3D visualization of cellular structures in near-native states but suffers from low signal-to-noise ratio due to imaging constraints. Traditional denoising methods and supervised learning approaches
Externí odkaz:
http://arxiv.org/abs/2411.15248
Autor:
Barros, Cauã Ferreira, Azevedo, Bruna Borges, Neto, Valdemar Vicente Graciano, Kassab, Mohamad, Kalinowski, Marcos, Nascimento, Hugo Alexandre D. do, Bandeira, Michelle C. G. S. P.
The exponential growth of text-based data in domains such as healthcare, education, and social sciences has outpaced the capacity of traditional qualitative analysis methods, which are time-intensive and prone to subjectivity. Large Language Models (
Externí odkaz:
http://arxiv.org/abs/2411.14473
Software bots, extensively adopted by Open Source Software (OSS) projects, support developers across several activities, from automating predefined tasks to generating code that aids software engineers. However, with the growing prominence of bots, q
Externí odkaz:
http://arxiv.org/abs/2411.09467
Topic modeling, or more broadly, dimensionality reduction, techniques provide powerful tools for uncovering patterns in large datasets and are widely applied across various domains. We investigate how Non-negative Matrix Factorization (NMF) can intro
Externí odkaz:
http://arxiv.org/abs/2411.09847
Autor:
Traboulsi, Suha
Publikováno v:
BOMB, 2016 Dec 01(138), 112-113.
Externí odkaz:
https://www.jstor.org/stable/26355517
