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Found 3 papers, 2 papers with code
"Flex Tape Can't Fix That": Bias and Misinformation in Edited Language Models
We introduce a novel benchmark dataset, Seesaw-CF, for measuring bias-related harms of model editing and conduct the first in-depth investigation of how different weight-editing methods impact model bias.
A Group-Specific Approach to NLP for Hate Speech Detection
Automatic hate speech detection is an important yet complex task, requiring knowledge of common sense, stereotypes of protected groups, and histories of discrimination, each of which may constantly evolve.
Evaluating Word Embeddings with Categorical Modularity
We find moderate to strong positive correlations between categorical modularity and performance on the monolingual tasks of sentiment analysis and word similarity calculation and on the cross-lingual task of bilingual lexicon induction both to and from English.
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