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Large language models (LLMs) like GPT-4 require substantial computational power and memory, posing challenges for their efficient deployment. While sparsification ...
In language model alignment, the effectiveness of reinforcement learning from human feedback (RLHF) hinges on the excellence of the underlying ...
In 3D scene generation, a captivating challenge is the seamless integration of new objects into pre-existing 3D scenes. The ability ...
Diffusion models have revolutionized text-to-image synthesis, unlocking new possibilities in classical machine-learning tasks. Yet, effectively harnessing their perceptual knowledge, especially ...
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