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Long-term memory systems for large language models (LLMs) have gained popularity for extending reasoning capabilities across applications. Current memory systems rely on LLM agents to organize and consolidate memory, resulting in costly, inefficient write operations. To address this limitation, we propose MemFit, a lon...
A systematic study of three representative paradigms for training-free multi-subject I2V generation: direct, parallel, and sequential generation, revealing the strengths and limitations of each paradigm and offering practical insights for designing controllable multi-subject video generation systems.
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