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Found 2 papers, 1 papers with code
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
We then use a large language model to paraphrase prompt templates that convey the specific tasks to be conducted on each image, and through this process, we create a multi-modal and multi-task training dataset comprising input and output images along with annotated instructions.
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care
By disentangling accurate and approximated rewards through action pruning, potential distortions of the main objective are minimized, all while enabling the extraction of valuable information from intermediate signals that can guide the learning process.
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