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cs.CL2024
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
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
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…