Keyword "EMBEDDING" found in the following publications:
FROM STM TO GPT: A COMPARATIVE STUDY OF TOPIC MODELING METHODS FOR AI IN DENTISTRY
This study presents a comprehensive topic modeling analysis of scientific abstracts in the field of artificial intelligence (AI) applied ...
APPLICATION OF MODERN DATA COLLECTION TECHNOLOGIES AND MACHINE LEARNING METHODS FOR FACE RECOGNITION
The article presents a comprehensive approach to the development and optimization of a neural network model for effective ...
The work is devoted to solving the problem of increasing the level of secrecy of data embedding into ...
METRICS FOR CULTURAL SEMANTIC INTEGRITY IN LLMS: A LOW-RESOURCE PERSPECTIVE
Multilingual large language models (LLMs) are predominantly trained and evaluated within English-centric pipelines. However, the semantic consequences of English-language ...
REVEALING CULTURAL MEANING WITH TRILINGUAL EMBEDDINGS: A NEW AUDIT OF LLM MULTILINGUAL BEHAVIOR
Large Language Models (LLMs) are increasingly regarded as authoritative mediators of multilingual meaning; however, their ability to preserve culturally ...
ON HIDDEN DATA EMBEDDING INTO THE VIDEO STREAM BASED ON THREE-DIMENSIONAL SUBBAND ANALYSIS
The paper is devoted to the development of the main theoretical provisions of the method of hidden data ...
