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Financial documents are filled with specialized terminology, arcane jargon, and curious acronyms that pose challenges for general-purpose text embeddings. Yet, few text embeddings specialized for finance have been reported in the literature, perhaps
Externí odkaz:
http://arxiv.org/abs/2411.07142
Autor:
Solovei, Adriana, Manthey, Jakob, Anderson, Peter, Mercken, Liesbeth, Llopis, Eva Jané, Rey, Guillermina Natera, Gómez, Augusto Pérez, Trujillo, Juliana Mejía, Bustamante, Inés, Piazza, Marina, de León, Alejandra Pérez, Arroyo, Miriam, de Vries, Hein, Rehm, Jürgen, Evers, Silvia
Alcohol measurement in health care settings is an effective intervention for reducing alcohol-related harm. However, in many countries, costs related to alcohol measurement have not yet been transparently assessed, which may hinder its adoption and i
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A85717
https://ul.qucosa.de/api/qucosa%3A85717/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A85717/attachment/ATT-0/
Text-to-image generation models are powerful but difficult to use. Users craft specific prompts to get better images, though the images can be repetitive. This paper proposes a Prompt Expansion framework that helps users generate high-quality, divers
Externí odkaz:
http://arxiv.org/abs/2312.16720
Autor:
Cho, Jaemin, Hu, Yushi, Garg, Roopal, Anderson, Peter, Krishna, Ranjay, Baldridge, Jason, Bansal, Mohit, Pont-Tuset, Jordi, Wang, Su
Evaluating text-to-image models is notoriously difficult. A strong recent approach for assessing text-image faithfulness is based on QG/A (question generation and answering), which uses pre-trained foundational models to automatically generate a set
Externí odkaz:
http://arxiv.org/abs/2310.18235