Plasma HDL cholesterol and risk of myocardial infarction: a mendelian randomisation study
The Lancet, 2012 B. Voight +125 more
semanticscholar +1 more source
Exploring Beyond Logits: Hierarchical Dynamic Labeling Based on Embeddings for Semi-Supervised Classification [PDF]
arXivIn semi-supervised learning, methods that rely on confidence learning to generate pseudo-labels have been widely proposed. However, increasing research finds that when faced with noisy and biased data, the model's representation network is more reliable than the classification network.
arxiv
Niacin in Patients with Low HDL Cholesterol Levels Receiving Intensive Statin Therapy
, 2012 P. P. Toth
semanticscholar +1 more source
Classification-Based Automatic HDL Code Generation Using LLMs [PDF]
arXivWhile large language models (LLMs) have demonstrated the ability to generate hardware description language (HDL) code for digital circuits, they still suffer from the hallucination problem, which leads to the generation of incorrect HDL code or misunderstanding of specifications. In this work, we introduce a human-expert-inspired method to mitigate the
arxiv
Serum Lipids and HDL in Old Patients with Cerebrovascular Disease
, 1979 Eiichi Uemura +5 more
openalex +2 more sources
HaVen: Hallucination-Mitigated LLM for Verilog Code Generation Aligned with HDL Engineers [PDF]
arXivRecently, the use of large language models (LLMs) for Verilog code generation has attracted great research interest to enable hardware design automation. However, previous works have shown a gap between the ability of LLMs and the practical demands of hardware description language (HDL) engineering. This gap includes differences in how engineers phrase
arxiv
De-esterification of cholesteryl esters in human plasma [alpha]-lipoprotein (HDL) by preparations of staphylococcal alpha toxin [PDF]
, 1974 N R Harvie
openalex
EFFECT OF STRICT DIABETIC CONTROL ON SERUM LIPID AND HDL-LCAT METABOLISM DURING HOSPITALIZATION
, 1989 Takashi Iizuka
openalex +2 more sources