Zobrazeno 1 - 10
of 159 167
pro vyhledávání: '"Error Detection"'
Autor:
Abacha, Asma Ben, Yim, Wen-wai, Fu, Yujuan, Sun, Zhaoyi, Yetisgen, Meliha, Xia, Fei, Lin, Thomas
Several studies showed that Large Language Models (LLMs) can answer medical questions correctly, even outperforming the average human score in some medical exams. However, to our knowledge, no study has been conducted to assess the ability of languag
Externí odkaz:
http://arxiv.org/abs/2412.19260
Autor:
Guo, Hongzhi
Traditional error detection and correction codes focus on bit-level fidelity, which is insufficient for emerging technologies like eXtended Reality (XR) and holographic communications requiring high-data-rate, low-latency systems. Bit-level metrics c
Externí odkaz:
http://arxiv.org/abs/2411.12825
Quality control of structures segmentation in volumetric medical images is important for identifying segmentation errors in clinical practice and for facilitating model development. This paper introduces SegQC, a novel framework for segmentation qual
Externí odkaz:
http://arxiv.org/abs/2411.07601
Error detection and correction are essential for ensuring robust and reliable operation in modern communication systems, particularly in complex transmission environments. However, discussions on these topics have largely been overlooked in semantic
Externí odkaz:
http://arxiv.org/abs/2411.01544
Autor:
Nihalani, Rahul, Shah, Kushal
This paper presents an improved LLM based model for Grammatical Error Detection (GED), which is a very challenging and equally important problem for many applications. The traditional approach to GED involved hand-designed features, but recently, Neu
Externí odkaz:
http://arxiv.org/abs/2411.15523
Autor:
Liao, Haoran, Hartnett, Gavin S., Kakkar, Ashish, Tan, Adrian, Hush, Michael, Mundada, Pranav S., Biercuk, Michael J., Baum, Yuval
The resource overhead required to achieve net computational benefits from quantum error correction (QEC) limits its utility while current systems remain constrained in size, despite exceptional progress in experimental demonstrations. In this paper,
Externí odkaz:
http://arxiv.org/abs/2411.14638
Publikováno v:
Biomedical Signal Proces. and Control, Vol.78, 2022
Electroencephalography (EEG) is a tool that allows us to analyze brain activity with high temporal resolution. These measures, combined with deep learning and digital signal processing, are widely used in neurological disorder detection and emotion a
Externí odkaz:
http://arxiv.org/abs/2411.12400
Bangla is the seventh most spoken language by a total number of speakers in the world, and yet the development of an automated grammar checker in this language is an understudied problem. Bangla grammatical error detection is a task of detecting sub-
Externí odkaz:
http://arxiv.org/abs/2411.08344
Autor:
Zhou, Pei-Yuan1 faith.lum@uwaterloo.ca, Lum, Faith1 jiecao.wang@uwaterloo.ca, Wang, Tony Jiecao1 akcwong@uwaterloo.ca, Bhatti, Anubhav2 anubhav.bhatti@spassmed.ca, Parmar, Surajsinh2 suraj.parmar@spassmed.ca, Dan, Chen2 chen.dan@spassmed.ca, Wong, Andrew K. C.1
Publikováno v:
Bioengineering (Basel). Aug2024, Vol. 11 Issue 8, p770. 22p.
