Results 11 to 20 of about 120,927 (308)
CoRRGLM-OCR is an efficient 0.9B-parameter compact multimodal model designed for real-world document understanding. It combines a 0.4B-parameter CogViT visual encoder with a 0.5B-parameter GLM language decoder, achieving a strong balance between computational efficiency and recognition performance.
Shuaiqi Duan +22 more
openaire +3 more sources
Preparation and In Vitro Bioactivity Evaluation of Ganoderma lucidum Melanin-Stabilized Selenium Nanoparticles [PDF]
FoodsSelenium nanoparticles (SeNPs), a highly promising candidate as a nutrient fortificant and food additive, face challenges in stability and biosafety. These limitations hinder their application in the food industry.
Ruru Liu +9 more
doaj +2 more sources
GLM-130B: An Open Bilingual Pre-trained Model [PDF]
International Conference on Learning Representations, 2022 We introduce GLM-130B, a bilingual (English and Chinese) pre-trained language model with 130 billion parameters. It is an attempt to open-source a 100B-scale model at least as good as GPT-3 (davinci) and unveil how models of such a scale can be ...
Aohan Zeng +17 more
semanticscholar +1 more source
GLM: General Language Model Pretraining with Autoregressive Blank Infilling [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 There have been various types of pretraining architectures including autoencoding models (e.g., BERT), autoregressive models (e.g., GPT), and encoder-decoder models (e.g., T5).
Zhengxiao Du +6 more
semanticscholar +1 more source
GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation [PDF]
Knowledge Discovery and Data Mining, 2023 We present GLM-Dialog, a large-scale language model (LLM) with 10B parameters capable of knowledge-grounded conversation in Chinese using a search engine to access the Internet knowledge. GLM-Dialog offers a series of applicable techniques for exploiting
Jing Zhang +12 more
semanticscholar +1 more source
GOES GLM, biased bolides, and debiased distributions [PDF]
Icarus (New York, N.Y. 1962), 2023 The large combined field of view of the Geostationary Lightning Mapper (GLM) instruments onboard the GOES weather satellites makes them useful for studying the population of other atmospheric phenomena, such as bolides.
Anthony Ozerov +4 more
semanticscholar +1 more source
Boletim do Instituto de Pesca, 2022 The choice of bait is one of the fisheries tactics used to increase selectivity for particular target species. The performance of three bait types (mackerel, sardine, squid) was evaluated with a commercial vessel operating in the Equatorial Atlantic ...
Tiago Hilário Pedrosa CAMPELLO +5 more
doaj +1 more source
INVERSE GAUSSIAN REGRESSION MODELING AND ITS APPLICATION IN NEONATAL MORTALITY CASES IN INDONESIA
Barekeng, 2022 Inverse Gaussian Regression (IGR) is a suitable model for modeling positively skewed response data, which follows the inverse Gaussian distribution. The IGR model was formed from the Generalized Linear Models (GLM).
M. Fathurahman
doaj +1 more source
RISK FACTORS SELECTION WITH DATA MINING METHODS FOR INSURANCE PREMIUM RATEMAKING [PDF]
Zbornik radova Ekonomskog fakulteta u Rijeci : časopis za ekonomsku teoriju i praksu, 2020 Insurance companies that have adopted the application of data mining methods in their business have become more competitive in the insurance market. Data mining methods provides the insurance industry with numerous advantages: shorter data processing ...
Amela Omerašević, Jasmina Selimović
doaj +1 more source
Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups [PDF]
NeuroImage, 2021 The general linear model (GLM) is a widely popular and convenient tool for estimating the functional brain response and identifying areas of significant activation during a task or stimulus.
Daniel Spencer +4 more
semanticscholar +1 more source