Abstract: Temporal modeling plays an important role in the effective adaption of the powerful pretrained text–image foundation model into text–video retrieval. However, existing methods often rely on ...

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Abstract: With extensive pretrained knowledge and high-level general capabilities, large language models (LLMs) emerge as a promising avenue to augment reinforcement learning (RL) in aspects, such as ...