Zobrazeno 1 - 10
of 328
pro vyhledávání: '"Pham, Thao P."'
Language models are known to absorb biases from their training data, leading to predictions driven by statistical regularities rather than semantic relevance. We investigate the impact of these biases on answer choice preferences in the Massive Multi
Externí odkaz:
http://arxiv.org/abs/2408.08651
This paper evaluates whether large language models (LLMs) exhibit cognitive fan effects, similar to those discovered by Anderson in humans, after being pre-trained on human textual data. We conduct two sets of in-context recall experiments designed t
Externí odkaz:
http://arxiv.org/abs/2407.06349
Cloze testing is a common method for measuring the behavior of large language models on a number of benchmark tasks. Using the MMLU dataset, we show that the base-rate probability (BRP) differences across answer tokens are significant and affect task
Externí odkaz:
http://arxiv.org/abs/2406.11634
Autor:
Vu Pham Thao Vy, Li-Nien Chien, Wan-Ting Chen, Wan-Ying Lin, Yeun-Chung Chang, Hsian-He Hsu, Wing P. Chan
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
In Taiwan, lung cancer remains the leading cause of cancer-related fatalities, resulting in substantial healthcare expenses. This research aims to evaluate both the frequency and the costs of low-dose computed tomography (LDCT) in individuals suspect
Externí odkaz:
https://doaj.org/article/9cd96b9cdeee4aaab4d589f897a9198c
Autor:
Luciana Kase Tanno, MD, PhD, Pham Thao Van Luong, MD, MSc, Megane Dieval, MSc, Caroline Dunoyer, PhD, Djito Tevi Lawson, MSc, Nicolas Molinari, PhD, Isabella Annesi-Maesano, MD, PhD, Pascal Demoly, MD, PhD
Publikováno v:
World Allergy Organization Journal, Vol 17, Iss 9, Pp 100951- (2024)
Background: The understanding of risk factors related to severe anaphylaxis is key to implementing prevention strategies. We present the first French population-based nine-year anaphylaxis hospitalization study evaluating specific trends and factors
Externí odkaz:
https://doaj.org/article/6323864b78d54ae28835b2abcffa6ef7
Autor:
Nguyen, Niem Tu, Bach, Giang Huong, Pham, Thao Huong, Nguyen, Huy Duy, Nguyen, Oanh Thi Kim, Bach, Cong Thanh
Temperature and field dependence of collective spin excitations or magnon in monolayer honeycomb spin lattices is investigated using an anisotropic exchange XZ-Heisenberg model in an external field. Magnetic phase transition in the presence of the tr
Externí odkaz:
http://arxiv.org/abs/2208.03913
Autor:
Melissa Min-Szu Yao, Vu Pham Thao Vy, Tony Hsiu-Hsi Chen, Hsian-He Hsu, Giu-Cheng Hsu, Cindy S. Lee, Li-Ju Lin, Shu-Li Chia, Chao-Chun Wu, Wing P. Chan, Amy Ming-Fang Yen
Publikováno v:
BMC Medicine, Vol 21, Iss 1, Pp 1-10 (2023)
Abstract Background The benefits of mammographic screening have been shown to include a decrease in mortality due to breast cancer. Taiwan’s Breast Cancer Screening Program is a national screening program that has offered biennial mammographic brea
Externí odkaz:
https://doaj.org/article/b0663ab7da724137815a90ee524bf679
Autor:
Nguyen Thi Hai Anh MD, Tran Minh Dien PhD, Le Thi Ha MD, Pham Thao Nguyen MD, Dang Thi Hai Van PhD
Publikováno v:
Global Pediatric Health, Vol 11 (2024)
Objectives. To identify factors associated with pulmonary hypertension (PH) at 28 days of life in preterm infants with bronchopulmonary dysplasia (BPD). Methods . This observational study included 128 premature infants with BPD between January 2022 a
Externí odkaz:
https://doaj.org/article/0fb66b180fb14893803a19e84e9dd82c
Publikováno v:
Cosmetics, Vol 11, Iss 4, p 109 (2024)
Artificial intelligence (AI) is revolutionizing plastic surgery through its remarkable advancements in various domains such as image analysis, robotic assistance, predictive analytics, and augmented reality. Predictive analytics, powered by AI, harne
Externí odkaz:
https://doaj.org/article/175348aa83834be28c070f06a2466ed7
Autor:
Lyu, Boyang, Pham, Thao, Blaney, Giles, Haga, Zachary, Sassaroli, Angelo, Fantini, Sergio, Aeron, Shuchin
Significance: We demonstrated the potential of using domain adaptation on functional Near-Infrared Spectroscopy (fNIRS) data to classify different levels of n-back tasks that involve working memory. Aim: Domain shift in fNIRS data is a challenge in t
Externí odkaz:
http://arxiv.org/abs/2007.06706