Search Results for author:
Found 4 papers, 3 papers with code
Profiling Bias in LLMs: Stereotype Dimensions in Contextual Word Embeddings
Large language models (LLMs) are the foundation of the current successes of artificial intelligence (AI), however, they are unavoidably biased.
Semantic Component Analysis: Discovering Patterns in Short Texts Beyond Topics
Topic modeling is a key method in text analysis, but existing approaches are limited by assuming one topic per document or fail to scale efficiently for large, noisy datasets of short texts.
A Comprehensive Evaluation of Cognitive Biases in LLMs
We present a large-scale evaluation of 30 cognitive biases in 20 state-of-the-art large language models (LLMs) under various decision-making scenarios.
Beats of Bias: Analyzing Lyrics with Topic Modeling and Gender Bias Measurements
This paper uses topic modeling and bias measurement techniques to analyze and determine gender bias in English song lyrics.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
