Production-ready implementation of the Semantic Similarity Rating (SSR) methodology from Maier et al. (2024), "Human Purchase Intent via LLM-Generated Synthetic Consumers". This system enables ...
Abstract: Unsupervised text semantic similarity is an important task in natural language processing that aims to learn robust text representations without labeled data. A major challenge in this ...
Abstract: Recent advancements have led the image matching community to increasingly focus on obtaining subpixel-level correspondences in a detector-free manner, i.e., semi-dense feature matching.
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