and multimodal signals.

The core assertions of the paper are:

1. Multimodal signals can be effectively incorporated into controllable text generation tasks. This is achieved by mapping text and image controls into a unified probability space at decoding, which customizes the language model outputs by weighted addition.

2. A dynamic weighting mechanism can be used to regulate control weights, allowing for better inter-modal trade-offs and improved performance.

3. The proposed approach, ZEROGEN, outperfor