1 citations · 2 across the 8 of their papers we have counts for
8 papers
Sentence-Level Contextual Entrainment in Large Language Models
Yang Liu, Chenhui Chu
Contextual entrainment, which is a newly discovered phenomenon in large language models (LLMs), refers to the tendency of a model to assign higher probabilities to tokens that appe…
Understanding the Prompt Sensitivity
Yang Liu, Chenhui Chu
Prompt sensitivity, which refers to how strongly the output of a large language model (LLM) depends on the exact wording of its input prompt, raises concerns among users about the…
Do LLMs Align Human Values Regarding Social Biases? Judging and Explaining Social Biases with LLMs
Yang Liu, Chenhui Chu
Large language models (LLMs) can lead to undesired consequences when misaligned with human values, especially in scenarios involving complex and sensitive social biases. Previous s…
On the Alignment of Large Language Models with Global Human Opinion
Yang Liu, Masahiro Kaneko, Chenhui Chu
Today's large language models (LLMs) are capable of supporting multilingual scenarios, allowing users to interact with LLMs in their native languages. When LLMs respond to subjecti…
Quantifying Stereotypes in Language
Yang Liu
A stereotype is a generalized perception of a specific group of humans. It is often potentially encoded in human language, which is more common in texts on social issues. Previous…
Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models
Yang Liu
Many evaluation measures are used to evaluate social biases in masked language models (MLMs). However, we find that these previously proposed evaluation measures are lacking robust…
Syntax-Aware Complex-Valued Neural Machine Translation
Yang Liu, Yuexian Hou
Syntax has been proven to be remarkably effective in neural machine translation (NMT). Previous models obtained syntax information from syntactic parsing tools and integrated it in…
Mining Effective Features Using Quantum Entropy for Humor Recognition
Yang Liu, Yuexian Hou
Humor recognition has been extensively studied with different methods in the past years. However, existing studies on humor recognition do not understand the mechanisms that genera…