19 citations · 29 across the 7 of their papers we have counts for
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cs.CL2024★ 1 cited
Problematic Tokens: Tokenizer Bias in Large Language Models
Jin Yang, Zhiqiang Wang, Yanbin Lin +1
Recent advancements in large language models(LLMs), such as GPT-4 and GPT-4o, have shown exceptional performance, especially in languages with abundant resources like English, than…
cs.CL2024★ 2 cited
Adaptable and Reliable Text Classification using Large Language Models
Zhiqiang Wang, Yiran Pang, Yanbin Lin +1
Text classification is fundamental in Natural Language Processing (NLP), and the advent of Large Language Models (LLMs) has revolutionized the field. This paper introduces an adapt…
cs.CL2023★ 19 cited
Large Language Models Are Zero-Shot Text Classifiers
Zhiqiang Wang, Yiran Pang, Yanbin Lin
Retrained large language models (LLMs) have become extensively used across various sub-disciplines of natural language processing (NLP). In NLP, text classification problems have g…