Our paper Emotional Vocabulary as Semantic Grounding: How Language Register Affects Diffusion Efficiency in Video Generation was accepted to CVPR 2026 — the GRAIL-V workshop on Grounded Retrieval and Agentic Intelligence for Vision-Language.
What the Paper Shows
When you prompt a video diffusion model, the emotional register of your language acts as semantic grounding that measurably affects generation efficiency.
A prompt using clinical, detached vocabulary produces different diffusion behavior than one using emotionally rich language, even when describing the same scene. The emotional vocabulary constrains the latent space in ways that reduce wasted computation.
In practical terms: diffusion models generate videos faster and with fewer denoising steps when the prompt carries emotional specificity.
Why This Matters
This connects computational linguistics (language register theory) with diffusion model internals (denoising schedules, latent space traversal). The result: a principled framework for understanding why some prompts work better than others.
The Lab
This research was done at Elyan Labs — a small lab in Lake Charles, Louisiana built on pawn shop hardware. The same lab that mines crypto on PowerBook G4s, got code merged into OpenSSL, and preserves 16+ machines from e-waste.
CVPR is in Denver, June 3-4.
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