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Embedding Mental Health Discourse for Community Recommendation
Our paper investigates the use of discourse embedding techniques to develop a community recommendation system that focuses on mental health support groups on social media.
A Quantitative Review on Language Model Efficiency Research
Language models (LMs) are being scaled and becoming powerful.
Image-based Vehicle Re-identification Model with Adaptive Attention Modules and Metadata Re-ranking
Vehicle Re-identification is a challenging task due to intra-class variability and inter-class similarity across non-overlapping cameras.
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