What is the impact of dimensionality reduction techniques (PCA, SVD) on the semantic coherence and classification performance of

Abstract

Abstract: Large Language Models (LLMs) recently demonstrated extraordinary capability, including natural language processing (NLP), language translation, text generation, question answering, etc. Moreover, LLMs are a new and essential part of computerized language processing, having the ability to understand complex verbal patterns and generate coherent and appropriate replies for the situation. Though this success of LLMs has prompted a substantial increase in research contributions, rapid growth has made it difficult to understand the overall impact of these improvements. Since a lot of new research o

Research Question

What is the impact of dimensionality reduction techniques (PCA, SVD) on the semantic coherence and classification performance of word-class embeddings across different languages in the XNLI and MLQA benchmarks?

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