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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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2 results for “WEAT”

Joint Multiclass Debiasing of Word Embeddingscs.CL

Paper debiases multiple word embedding biases simultaneously.

problem Reduction of multiple biases in word embeddings.

method Joint multiclass debiasing approach using Word Embeddings Association Test (WEAT).

result Demonstrates reduction or complete elimination of bias in word embeddings.

bias reduction word embeddings WEAT multiclass debiasing textual data

2020-03-09abs ↗pdf ↗

"Thy algorithm shalt not bear false witness": An Evaluation of Multiclass Debiasing Methods on Word Embeddingscs.CL

This paper evaluates debiasing methods on word embeddings to reduce religious bias.

problem Social biases persist in word embeddings, potentially amplifying them in AI applications.

method Investigates and evaluates three multiclass debiasing techniques on three word embeddings.

result ConceptorDebiasing is the most effective method, reducing religious bias by 82-96%.

word embeddings bias removal religious bias natural language processing multiclass debiasing

2020-10-30abs ↗pdf ↗