Zobrazeno 1 - 10
of 16 456
pro vyhledávání: '"P Merrill"'
Autor:
Sepúlveda, Mauricio Vargas, Leeper, Thomas J., Paskhalis, Tom, Aristarán, Manuel, Merrill, Jeremy B., Tigas, Mike
tabulapdf is an R package that utilizes the Tabula Java library to import tables from PDF files directly into R. This tool can reduce time and effort in data extraction processes in fields like investigative journalism. It allows for automatic and ma
Externí odkaz:
http://arxiv.org/abs/2409.14524
Autor:
Gu, Ken, Shang, Ruoxi, Jiang, Ruien, Kuang, Keying, Lin, Richard-John, Lyu, Donghe, Mao, Yue, Pan, Youran, Wu, Teng, Yu, Jiaqian, Zhang, Yikun, Zhang, Tianmai M., Zhu, Lanyi, Merrill, Mike A., Heer, Jeffrey, Althoff, Tim
Data-driven scientific discovery requires the iterative integration of scientific domain knowledge, statistical expertise, and an understanding of data semantics to make nuanced analytical decisions, e.g., about which variables, transformations, and
Externí odkaz:
http://arxiv.org/abs/2408.09667
Autor:
Samarin, Nikita, Sanchez, Alex, Chung, Trinity, Juleemun, Akshay Dan Bhavish, Gilsenan, Conor, Merrill, Nick, Reardon, Joel, Egelman, Serge
Like most modern software, secure messaging apps rely on third-party components to implement important app functionality. Although this practice reduces engineering costs, it also introduces the risk of inadvertent privacy breaches due to misconfigur
Externí odkaz:
http://arxiv.org/abs/2407.10589
Large language models (LLMs) are being applied to time series forecasting. But are language models actually useful for time series? In a series of ablation studies on three recent and popular LLM-based time series forecasting methods, we find that re
Externí odkaz:
http://arxiv.org/abs/2406.16964
How novel are texts generated by language models (LMs) relative to their training corpora? In this work, we investigate the extent to which modern LMs generate $n$-grams from their training data, evaluating both (i) the probability LMs assign to comp
Externí odkaz:
http://arxiv.org/abs/2406.13069
Product assortment selection is a critical challenge facing physical retailers. Effectively aligning inventory with the preferences of shoppers can increase sales and decrease out-of-stocks. However, in real-world settings the problem is challenging
Externí odkaz:
http://arxiv.org/abs/2406.07769
Autor:
Merrill, Mike A., Paruchuri, Akshay, Rezaei, Naghmeh, Kovacs, Geza, Perez, Javier, Liu, Yun, Schenck, Erik, Hammerquist, Nova, Sunshine, Jake, Tailor, Shyam, Ayush, Kumar, Su, Hao-Wei, He, Qian, McLean, Cory Y., Malhotra, Mark, Patel, Shwetak, Zhan, Jiening, Althoff, Tim, McDuff, Daniel, Liu, Xin
Despite the proliferation of wearable health trackers and the importance of sleep and exercise to health, deriving actionable personalized insights from wearable data remains a challenge because doing so requires non-trivial open-ended analysis of th
Externí odkaz:
http://arxiv.org/abs/2406.06464
Autor:
Merrill, Nathaniel, Huang, Guoquan
We present AB-VINS, a different kind of visual-inertial SLAM system. Unlike most popular VINS methods which only use hand-crafted techniques, AB-VINS makes use of three different deep neural networks. Instead of estimating sparse feature positions, A
Externí odkaz:
http://arxiv.org/abs/2406.05969
Autor:
Tu, Sichang, Powers, Abigail, Merrill, Natalie, Fani, Negar, Carter, Sierra, Doogan, Stephen, Choi, Jinho D.
The shortage of clinical workforce presents significant challenges in mental healthcare, limiting access to formal diagnostics and services. We aim to tackle this shortage by integrating a customized large language model (LLM) into the workflow, thus
Externí odkaz:
http://arxiv.org/abs/2405.11178
Chain-of-thought responses from language models improve performance across most benchmarks. However, it remains unclear to what extent these performance gains can be attributed to human-like task decomposition or simply the greater computation that a
Externí odkaz:
http://arxiv.org/abs/2404.15758