10 citations · 12 across the 6 of their papers we have counts for
7 papers
From Utterances to Networks: Modelling Slang Adoption and Diffusion Across Subreddits
Xiaoning Wang, Ted Underwood, Zhewei Sun
Adoption and diffusion of neologisms in online communities have received renewed attention in recent years. As internet slang terms such as APT, referring to a K-pop song, and phra…
Measuring, Localizing, and Reducing the AI-Like Writing Style of Post-Trained LLMs
Aniket Anand, Janvijay Singh, Zhewei Sun +2
Post-trained language models often exhibit a recognizable AI-like writing style, yet its connection to post-training and internal representations remains poorly understood. In this…
How do Language Models Generate Slang: A Systematic Comparison between Human and Machine-Generated Slang Usages
Siyang Wu, Zhewei Sun
Slang is a commonly used type of informal language that poses a daunting challenge to NLP systems. Recent advances in large language models (LLMs), however, have made the problem m…
Toward Informal Language Processing: Knowledge of Slang in Large Language Models
Zhewei Sun, Qian Hu, Rahul Gupta +2
Recent advancement in large language models (LLMs) has offered a strong potential for natural language systems to process informal language. A representative form of informal langu…
Tracing Semantic Variation in Slang
Zhewei Sun, Yang Xu
The meaning of a slang term can vary in different communities. However, slang semantic variation is not well understood and under-explored in the natural language processing of sla…
Semantically Informed Slang Interpretation
Zhewei Sun, Richard Zemel, Yang Xu
Slang is a predominant form of informal language making flexible and extended use of words that is notoriously hard for natural language processing systems to interpret. Existing a…
A Computational Framework for Slang Generation
Zhewei Sun, Richard Zemel, Yang Xu
Slang is a common type of informal language, but its flexible nature and paucity of data resources present challenges for existing natural language systems. We take an initial step…