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  We trained [TimeChat](https://arxiv.org/abs/2312.02051) using VTune, a developed instruction-tuning method specifically designed to account for consistency.
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- For the tuning, we utilized 10K training videos from Charades-STA with 205K automatically generated annotations.
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  ## Evaluation
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  We evaluated the model on ActivtyNet-CON and ActivtyNet-Captions.
 
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  We trained [TimeChat](https://arxiv.org/abs/2312.02051) using VTune, a developed instruction-tuning method specifically designed to account for consistency.
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+ For the tuning, we utilized 10K training videos from ActivityNet-Captions with 205K automatically generated annotations.
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  ## Evaluation
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  We evaluated the model on ActivtyNet-CON and ActivtyNet-Captions.