A framework that generates images from source sentences with a Stable Diffusion model fine-tuned by a scene-graph reward, then feeds them into a multimodal LLM, is claimed to improve machine translation, but key comparisons are confounded.
In Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, V olume 1: Long Papers, pages 6525–6538
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Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation
A framework that generates images from source sentences with a Stable Diffusion model fine-tuned by a scene-graph reward, then feeds them into a multimodal LLM, is claimed to improve machine translation, but key comparisons are confounded.