An\'alise de ambiguidade lingu\'istica em modelos de linguagem de grande escala (LLMs)

arXiv:2404.16653v1 Announce Type: new
Abstract: Linguistic ambiguity continues to represent a significant challenge for natural language processing (NLP) systems, notwithstanding the advancements in architectures such as Transformers and BERT. Inspired by the recent success of instructional models like ChatGPT and Gemini (In 2023, the artificial intelligence was called Bard.), this study aims to analyze and discuss linguistic ambiguity within these models, focusing on three types prevalent in Brazilian Portuguese: semantic, syntactic, and lexical ambiguity. We create a corpus comprising 120 …

abstract architectures artificial artificial intelligence arxiv bert challenge chatgpt cs.ai cs.cl gemini grande intelligence language language processing llms natural natural language natural language processing nlp processing success systems transformers type