Yes, in LLMs, it is true that long prompts require more encoding time than decoding. This is because the encoder is designed to learn embeddings for various predictive modeling tasks[1], while the decoder is designed to generate new texts[1] based on the encoded information. Therefore, the process of encoding long inputs can be more time-consuming than decoding them.
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