3 papers
cs.CL2025
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…
cs.CY2025
Language Models Should be Used to Surface the Unwritten Code of Science and Society
Honglin Bao, Siyang Wu, Jiwoong Choi +2
This paper calls on the research community not only to investigate how human biases are inherited by large language models (LLMs) but also to explore how these biases in LLMs can b…
cs.CL2025
Missing vs. Unused Knowledge Hypothesis for Language Model Bottlenecks in Patent Understanding
Siyang Wu, Honglin Bao, Nadav Kunievsky +1
While large language models (LLMs) excel at factual recall, the real challenge lies in knowledge application. A gap persists between their ability to answer complex questions and t…