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cs.CL2025
Extracting Sentence Embeddings from Pretrained Transformer Models
Lukas StankeviÄius, Mantas LukoÅ¡eviÄius
Pre-trained transformer models shine in many natural language processing tasks and therefore are expected to bear the representation of the input sentence or text meaning. These se…
cs.CL2024
Inference acceleration for large language models using "stairs" assisted greedy generation
Domas GrigaliÅ«nas, Mantas LukoÅ¡eviÄius
Large Language Models (LLMs) with billions of parameters are known for their impressive predicting capabilities but require lots of resources to run. With their massive rise in pop…
cs.CL2024
Sentiment Analysis of Lithuanian Online Reviews Using Large Language Models
Brigita VileikytÄ, Mantas LukoÅ¡eviÄius, Lukas StankeviÄius
Sentiment analysis is a widely researched area within Natural Language Processing (NLP), attracting significant interest due to the advent of automated solutions. Despite this, the…