3 accepted papers
The increasing utilization of large language models raises significant concerns about the propagation of social biases, which may result in harmful and unfair outcomes. However, existing debiasing methods treat the biased and unbiased samples independently, thus ignoring their mutual relationship. T…
AI recommendation techniques provide users with personalized services, feeding them the information they may be interested in. The increasing personalization raises the hypotheses of the "filter bubble" and "echo chamber" effects. To investigate these hypotheses, in this paper, we inspect the impact…
We introduce MP6D, a public dataset which is used for 6D pose estimation of Metal Parts in industrial environments. The dataset consists of 20 metal parts made of aluminum alloy material which are commonly used in factories. To the best of our knowledge, this is the first dataset of metal parts with