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Found 3 papers, 1 papers with code
SOS: Systematic Offensive Stereotyping Bias in Word Embeddings
Systematic Offensive stereotyping (SOS) in word embeddings could lead to associating marginalised groups with hate speech and profanity, which might lead to blocking and silencing those groups, especially on social media platforms.
On Bias and Fairness in NLP: Investigating the Impact of Bias and Debiasing in Language Models on the Fairness of Toxicity Detection
Even though there is evidence that language models are biased, the impact of that bias on the fairness of downstream NLP tasks is still understudied.
Multiclass-SGCN: Sparse Graph-based Trajectory Prediction with Agent Class Embedding
Trajectory prediction of road users in real-world scenarios is challenging because their movement patterns are stochastic and complex.
Ranked #1 on
Trajectory Prediction
on SDD
