4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2025
BTC-SAM: Leveraging LLMs for Generation of Bias Test Cases for Sentiment Analysis Models
Zsolt T. Kardkovacs, Lynda Djennane, Anna Field +4
Sentiment Analysis (SA) models harbor inherent social biases that can be harmful in real-world applications. These biases are identified by examining the output of SA models for se…
cs.LG2022★ 4 cited
Rethinking and Recomputing the Value of Machine Learning Models
Burcu Sayin, Jie Yang, Xinyue Chen +2
In this paper, we argue that the prevailing approach to training and evaluating machine learning models often fails to consider their real-world application within organizational o…